技术领域Technical field
本发明涉及电力系统调度自动化与电网仿真技术领域，尤其涉及一种执行保护动作策略的分类方法、装置、设备和介质。The invention relates to the technical fields of power system dispatching automation and power grid simulation, and in particular to a classification method, device, equipment and medium for executing protection action strategies.
背景技术Background technique
随着配电网不断扩大建设以及大量分布式电源的接入，配电网拓扑结构复杂，且极易发生故障。With the continuous expansion and construction of distribution networks and the access of a large number of distributed power sources, the topology of distribution networks is complex and prone to failure.
现有的配电网通常只配置电流采样元件，保护原理采用过流保护、光纤纵联差动保护等，对线路进行故障检测，根据线路的连接级联，并建立多级后备保护方案。Existing distribution networks are usually only equipped with current sampling components. The protection principle uses overcurrent protection, optical fiber longitudinal differential protection, etc. to detect line faults, cascade according to the line connections, and establish a multi-level backup protection scheme.
然而，在目前的配电网故障时执行保护动作策略进行实际应用时，由于不确定执行恢复方案后配电网工作的优劣情况，不仅为配电网的安全运行埋下了隐患，也带来了无形的经济损失。However, when the protection action strategy is implemented in the current distribution network fault for practical application, the uncertainty of the performance of the distribution network after the recovery plan is implemented not only creates hidden dangers for the safe operation of the distribution network, but also creates problems. Intangible economic losses came.
发明内容Contents of the invention
本发明提供了一种执行保护动作策略的分类方法、装置、设备和介质，以解决缺少对配电网故障恢复执行动作的安全分析的问题，可以实现对执行保护动作策略的安全性等级的快速划分，保障配电网保护执行动作的可靠性，降低故障恢复方案执行后配电网运行的风险。The invention provides a classification method, device, equipment and medium for executing protection action strategies to solve the problem of lack of safety analysis of execution actions for distribution network fault recovery, and can realize rapid assessment of the security level of execution of protection action strategies. Division, ensure the reliability of distribution network protection execution actions, and reduce the risk of distribution network operation after the fault recovery plan is implemented.
根据本发明的一方面，提供了一种执行保护动作策略的分类方法，包括：According to one aspect of the present invention, a classification method for executing protection action strategies is provided, including:
获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；Obtain the distribution network data when the distribution network fails, and build a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data;
确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；Determine the target data of the faulty area segment in the distribution network, and load the target data into the simulated distribution network model;
获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；Obtain multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies;
基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。Based on the test data corresponding to the execution protection action policy, the security level of the execution protection action policy is determined.
根据本发明的另一方面，提供了一种执行保护动作策略的分类装置，包括：According to another aspect of the present invention, a classification device for executing a protection action strategy is provided, including:
模型构建模块，用于获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；The model building module is used to obtain distribution network data when the distribution network fails, and build a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data;
目标数据加载模块，用于确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；The target data loading module is used to determine the target data of the fault area segment in the distribution network and load the target data into the simulated distribution network model;
测试数据获取模块，用于获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；The test data acquisition module is used to obtain multiple execution protection action strategies, perform periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies;
等级确定模块，用于基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。The level determination module is used to determine the security level of the execution protection action policy based on the test data corresponding to the execution protection action policy.
根据本发明的另一方面，提供了一种电子设备，电子设备包括：According to another aspect of the present invention, an electronic device is provided. The electronic device includes:
至少一个处理器；以及at least one processor; and
与至少一个处理器通信连接的存储器；其中，A memory communicatively connected to at least one processor; wherein,
存储器存储有可被至少一个处理器执行的计算机程序，计算机程序被至少一个处理器执行，以使至少一个处理器能够执行本发明任一实施例的执行保护动作策略的分类。The memory stores a computer program that can be executed by at least one processor, and the computer program is executed by at least one processor, so that the at least one processor can execute the classification of the execution protection action strategy of any embodiment of the present invention.
根据本发明的另一方面，提供了一种计算机可读存储介质，计算机可读存储介质存储有计算机指令，计算机指令用于使处理器执行时实现本发明任一实施例的执行保护动作策略的分类。According to another aspect of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores computer instructions. The computer instructions are used to enable the processor to implement the execution protection action strategy of any embodiment of the present invention when executed. Classification.
本发明实施例的技术方案，通过获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级，可以实现对执行保护动作策略的分类的安全性等级的快速划分，解决了缺少对配电网故障恢复执行动作的安全分析的问题，保障了配电网保护执行动作的可靠性，降低了故障恢复方案执行后配电网运行的风险。The technical solution of the embodiment of the present invention is to obtain the distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data; determine the fault in the distribution network Target data of the regional segment, load the target data into the simulated distribution network model; obtain multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain the corresponding test of the execution protection action strategy Data; based on the test data corresponding to the execution protection action strategy, the security level of the execution protection action strategy is determined, which can realize the rapid classification of the security levels of the classification of the execution protection action strategy, and solve the lack of execution actions for distribution network fault recovery. The safety analysis problem ensures the reliability of distribution network protection execution actions and reduces the risk of distribution network operation after the fault recovery plan is implemented.
应当理解，本部分所描述的内容并非旨在标识本发明的实施例的关键或重要特征，也不用于限制本发明的范围。本发明的其他特征将通过以下的说明书而变得容易理解。It should be understood that what is described in this section is not intended to identify key or important features of the embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become easily understood from the following description.
附图说明Description of the drawings
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单的介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.
图1是本发明实施例一提供的一种执行保护动作策略的分类方法的流程图；Figure 1 is a flow chart of a classification method for executing protection action policies provided in Embodiment 1 of the present invention;
图2是本发明实施例二提供的一种执行保护动作策略的分类方法的流程图；Figure 2 is a flow chart of a classification method for executing protection action policies provided in Embodiment 2 of the present invention;
图3是本发明实施例三提供的一种执行保护动作策略的分类装置的结构示意图；Figure 3 is a schematic structural diagram of a classification device for executing a protection action strategy provided in Embodiment 3 of the present invention;
图4是实现本发明实施例的执行保护动作策略的分类方法的电子设备的结构示意图。FIG. 4 is a schematic structural diagram of an electronic device that implements a classification method for executing protection action policies according to an embodiment of the present invention.
具体实施方式Detailed ways
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整的描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts should fall within the scope of protection of the present invention.
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances so that the embodiments of the invention described herein are capable of being practiced in sequences other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, e.g., a process, method, system, product, or apparatus that encompasses a series of steps or units and need not be limited to those explicitly listed. Those steps or elements may instead include other steps or elements not expressly listed or inherent to the process, method, product or apparatus.
实施例一Embodiment 1
图1是本发明实施例一提供的一种执行保护动作策略的分类方法的流程图，本实施例可适用于配电网故障恢复的情况，该方法可以由执行保护动作策略的分类装置来执行，该执行保护动作策略的分类装置可以采用硬件和/或软件的形式实现，该执行保护动作策略的分类装置可配置于计算机或服务器等电子设备中。如图1所示，该方法包括：Figure 1 is a flow chart of a classification method for executing a protection action strategy provided in Embodiment 1 of the present invention. This embodiment can be applied to the situation of distribution network fault recovery. This method can be executed by a classification device that executes a protection action strategy. , the classification device that executes the protection action policy can be implemented in the form of hardware and/or software, and the classification device that executes the protection action policy can be configured in electronic equipment such as computers or servers. As shown in Figure 1, the method includes:
S110、获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型。S110. Obtain distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data.
在本实施例中，配电网数据为配电网故障时，通过对配电网的故障检测，获取配电网所有位置的当前故障值，其中，当前故障值可以为当前配电网故障区域段的电压值和电流值。故障区域段是在两个开关之间存在故障的故障馈线段。配电网分布数据包括配电网中电流、电压传输的路径和配电网的线路排布划分图的数据。拟态配电网模型为根据配电网数据和配电网分布数据建立的模拟模型。配电网故障包括但不限于单相接地、相间短路等多种故障类型，电源侧、网络侧和负荷侧等多种故障地址，高阻接地故障和金属性接地故障等多种故障深度，馈线级、设备级和系统级等多种故障层级。In this embodiment, when the distribution network data is a distribution network fault, current fault values at all locations of the distribution network are obtained through fault detection of the distribution network, where the current fault value can be the current distribution network fault area. segment voltage and current values. A fault zone segment is a faulty feeder segment where a fault exists between two switches. The distribution data of the distribution network includes the data of current and voltage transmission paths in the distribution network and the line layout and division diagram of the distribution network. The simulated distribution network model is a simulation model established based on distribution network data and distribution network distribution data. Distribution network faults include but are not limited to multiple fault types such as single-phase grounding and phase-to-phase short circuit, multiple fault locations such as power supply side, network side and load side, multiple fault depths such as high-resistance ground fault and metallic ground fault, feeder There are multiple fault levels such as level, equipment level and system level.
具体的，可以利用网端资料库中统计的配电网的相关数据对配电网数据和配电网分布数据进行核对采集，通过故障区域段定位技术(例如，矩阵法和人工智能法)确定一个或多个故障区域段，可以通过采用互感器对故障区域段中的电压值和电流值进行实时检测，快速完成配电网的当前故障值的采集，并确定故障类型。可以采用有线或无线的方式，将实时采集的配电网数据和配电网分布数据传输给计算机或服务器等电子设备，利用虚拟现实技术和数字孪生技术在虚拟仿真空间中建立不同故障类型下的基于配电网实际物理区域映射的拟态数字模型。Specifically, the distribution network data and distribution network distribution data can be checked and collected using the statistics of the distribution network in the network database, and the fault area segment positioning technology (for example, matrix method and artificial intelligence method) can be used to determine One or more faulty area segments can be used to detect the voltage and current values in the faulty area segment in real time using transformers to quickly collect the current fault value of the distribution network and determine the fault type. Wired or wireless methods can be used to transmit the real-time collected distribution network data and distribution network distribution data to electronic equipment such as computers or servers, and use virtual reality technology and digital twin technology to establish simulation models under different fault types in the virtual simulation space. Mimic digital model based on mapping of actual physical areas of distribution network.
示例性的，对配电网进行实时检测，并将采集得到的配电网数据和配电网分布数据无线传输给执行保护动作策略的分类装置，通过基于神经网络的故障区域段定位技术，确定存在一个故障区域段。使用互感器对该故障区域段进行实时检测，得到对应的当前电压值和当前电流值，确定此故障区域段的故障类型。融合实时采集的配电网数据和配电网分布数据，基于虚拟现实技术和数字孪生技术建立数字孪生体，得到拟态数字模型，对实时获取配电网数据与配电网分布数据进行可视化展示，并且能够对配电网运行状态进行模拟，得到模拟数据。Exemplarily, the distribution network is detected in real time, and the collected distribution network data and distribution network distribution data are wirelessly transmitted to the classification device that executes the protection action strategy, and the fault area segment positioning technology based on the neural network is used to determine There is a faulty area segment. Use a transformer to detect the fault area in real time, obtain the corresponding current voltage value and current value, and determine the fault type of the fault area. Integrate the real-time collected distribution network data and distribution network distribution data, establish a digital twin based on virtual reality technology and digital twin technology, and obtain a pseudo digital model to visually display the real-time acquisition of distribution network data and distribution network distribution data. And it can simulate the operating status of the distribution network and obtain simulation data.
本实施例的技术方案，通过核对采集到的配电网数据和配电网分布数据，确保建立的运行数据准确，减少偏差数据导致的测试值错误。通过构建数字孪生体，实现高实时性的配电网动态重构，能快速对配电网故障进行检测，也可以提供维护周期的参考依据，提高分析结果的可靠性。The technical solution of this embodiment ensures that the established operating data is accurate and reduces test value errors caused by deviation data by checking the collected distribution network data and distribution network distribution data. By constructing a digital twin, high real-time dynamic reconstruction of the distribution network can be achieved, which can quickly detect distribution network faults, provide reference for maintenance cycles, and improve the reliability of analysis results.
S120、确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型。S120. Determine the target data of the fault area segment in the distribution network, and load the target data into the simulated distribution network model.
在本实施例中，目标数据是在进行相关执行动作保护策略对应的操作后，用于分析配电网中故障区域段的变化的多项数据，例如，电压值和电流值。In this embodiment, the target data is a plurality of data, such as voltage values and current values, used to analyze changes in faulty area segments in the distribution network after performing operations corresponding to the execution of the action protection strategy.
具体的，将配电网故障分析所需的多项数据确定为目标数据，通过建立历史数据库，按照一定频率检测配电网中故障区域段的与目标数据相关的数据，存储到历史数据库，并进行分析计算得到一项或多项目标数据，与实时采集得到的一项或多项目标数据一起动态加载到拟态配电网模型。Specifically, multiple data required for distribution network fault analysis are determined as target data. By establishing a historical database, the data related to the target data in the fault area segment of the distribution network is detected at a certain frequency and stored in the historical database. One or more target data are obtained through analysis and calculation, which are dynamically loaded into the simulated distribution network model together with one or more target data collected in real time.
可选的，目标数据中包括各开关位置、历史开关动作频率、最近一次开关动作时间、当前电压值和当前电流值。Optionally, the target data includes each switch position, historical switching action frequency, latest switching action time, current voltage value and current current value.
在本实施例中，开关位置为故障区域段内所有开关在拟态配电网模型中的位置；历史开关动作频率为历史目标数据库中记录的当前时间点前的一时间段内，每个开关位置的开关元件根据开关操作次数与该时间段的时长计算得到的开关动作频率；最近一次开关动作时间为历史目标数据库中记录的当前开关动作发生时间的前一次开关动作发生的时间；当前电压值和当前电流值分别为互感器实时检测的故障区域段的电压值和电流值。In this embodiment, the switch positions are the positions of all switches in the fault area segment in the simulated distribution network model; the historical switch action frequency is the position of each switch in a time period before the current time point recorded in the historical target database. The switching action frequency of the switching element is calculated based on the number of switching operations and the length of the time period; the latest switching action time is the time when the previous switching action occurred compared to the current switching action occurrence time recorded in the historical target database; the current voltage value and The current current values are respectively the voltage value and current value of the fault area detected by the transformer in real time.
本实施例的技术方案，通过使用各开关位置、历史开关动作频率、最近一次开关动作时间、当前电压值和当前电流值作为目标数据，准确的反映配电网中故障区域段的工作状态，使得分析结果全面可靠。The technical solution of this embodiment accurately reflects the working status of the faulty area segment in the distribution network by using each switch position, historical switching action frequency, latest switching action time, current voltage value and current current value as target data, so that The analysis results are comprehensive and reliable.
S130、获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据。S130. Acquire multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies.
在本实施例中，执行保护动作策略是基于配电网故障类型执行动作数据库中预存的每一故障类型所对应的参考故障执行动作保护策略。执行保护动作策略数据库是预先建立的由不同故障类型所对应的参考故障执行动作保护策略组成的数据库。周期性频率测试是在拟态配电网模型中对多个执行保护动作策略在相同时长的运行过程中出现故障的频率的模拟测试。测试数据是在拟态配电网模型中对执行保护动作策略进行周期性频率测试的多个结果数据。In this embodiment, the execution of the protection action strategy is based on the reference fault execution action protection strategy corresponding to each fault type pre-stored in the distribution network fault type execution action database. The execution protection action strategy database is a pre-established database composed of reference fault execution action protection strategies corresponding to different fault types. The periodic frequency test is a simulation test of the frequency of faults in multiple execution protection action strategies during the same length of operation in a simulated distribution network model. The test data is multiple result data of periodic frequency tests on the execution of protection action strategies in the simulated distribution network model.
具体的，根据配电网中故障区域段的故障类型，从执行保护动作策略数据库中选取相应的多个执行保护动作策略，根据执行保护动作策略在拟态配电网模型中进行相应的模拟操作，对配电网故障恢复运行进行周期性频率测试，通过对运行数据进行连续采集，并通过对采集到的数据进行智能分析，例如，时间序列分析和周期性分析，得到相应执行保护动作策略对应的测试数据。Specifically, according to the fault type of the fault area segment in the distribution network, multiple corresponding execution protection action strategies are selected from the execution protection action strategy database, and corresponding simulation operations are performed in the simulated distribution network model according to the execution protection action strategy. Conduct periodic frequency tests on distribution network fault recovery operations. Through continuous collection of operating data, and through intelligent analysis of the collected data, such as time series analysis and periodic analysis, we can obtain corresponding execution protection action strategies. Test Data.
本实施例的技术方案，通过对运行数据进行连续采集和智能分析，进行周期性的最佳预测分析，从而可以预测所采用的保护执行动作策略中最佳执行动作点，也可以提供维护周期的参考依据，提高分析结果的可靠性。通过对多个执行保护动作策略进行同等周期性频率测试，确保同等周期性频率的一致性，保证分析结果的准确性。The technical solution of this embodiment performs periodic best prediction analysis through continuous collection and intelligent analysis of operating data, thereby predicting the best execution action point in the adopted protection execution action strategy, and also providing information on maintenance cycles. Reference basis to improve the reliability of analysis results. By testing multiple execution protection action strategies at the same periodic frequency, we ensure the consistency of the same periodic frequency and the accuracy of the analysis results.
可选的，多个执行保护动作策略包括应用策略和备份策略，执行保护动作策略基于配电网的故障类型匹配得到。Optionally, multiple execution protection action strategies include application strategies and backup strategies, and the execution protection action strategies are obtained based on matching fault types of the distribution network.
在本实施例中，应用策略是每一故障类型所对应的当前的一个故障执行动作保护策略，备份策略是每一故障类型所对应的一个或多个备选故障执行动作保护策略。In this embodiment, the application strategy is a current fault execution action protection strategy corresponding to each fault type, and the backup strategy is one or more alternative fault execution action protection strategies corresponding to each fault type.
具体的，对于配电网的每一故障类型，在执行保护动作策略数据库中可以有一个应用策略和一个或多个备份策略与该故障类型匹配。Specifically, for each fault type of the distribution network, there can be an application strategy and one or more backup strategies matching the fault type in the execution protection action strategy database.
示例性的，执行保护动作策略中的应用策略包括但不限于：断路器的操作，当系统发生故障或异常情况时，通过断路器触发其动作，将故障部分与电网隔离，保护其他设备和电网的安全运行；报警信号的发出，通过报警信号的方式通知操作人员或监控系统；保护装置的自动化操作，根据预设的保护策略和参数，自动判断故障类型，并执行相应的保护动作。执行保护动作策略中的备选策略包括但不限于：电源切换，通过切换电源的方式将故障部分与电网隔离，切换到备用电源或其他可靠的电源供电；跳闸保护，通过跳闸保护的方式将整个配电网或部分区域断电；隔离开关操作：通过操作隔离开关，将故障设备或故障区域与电网隔离，防止故障扩散和影响其他设备的正常运行；遥控操作：通过遥控操作，远程控制设备的开关状态，实现故障隔离、恢复供电等操作，提高操作的便捷性和安全性；自动重启。Exemplary application strategies in executing the protection action strategy include but are not limited to: the operation of the circuit breaker. When a fault or abnormality occurs in the system, its action is triggered by the circuit breaker to isolate the faulty part from the power grid and protect other equipment and the power grid. Safe operation; the issuance of alarm signals notifies the operator or monitoring system through alarm signals; the automatic operation of protection devices automatically determines the fault type and performs corresponding protection actions based on the preset protection strategies and parameters. Alternative strategies in the implementation of protection action strategies include but are not limited to: power switching, which isolates the faulty part from the power grid by switching power supply and switches to backup power supply or other reliable power supply; tripping protection, which switches the entire Power outage in the distribution network or some areas; isolation switch operation: by operating the isolation switch, the faulty equipment or faulty area is isolated from the power grid to prevent the fault from spreading and affecting the normal operation of other equipment; remote control operation: through remote control operation, the equipment is remotely controlled Switch status, realize fault isolation, power restoration and other operations, improve the convenience and safety of operation; automatically restart.
可选的，周期性频率测试为单一执行保护动作策略的周期性频率测试，任一次周期性频率测试得到的测试数据包括开关动作频率、开关动作频率间隔以及每次开关前后故障段的电压值、电流值。Optional, the periodic frequency test is a periodic frequency test that executes a single protection action strategy. The test data obtained from any periodic frequency test includes the switching action frequency, the switching action frequency interval, and the voltage value of the fault section before and after each switch. current value.
在本实施例中，开关动作频率为周期性频率测试阶段，目标数据中各开关位置的开关元件根据开关操作次数与该时间段的时长计算得到的开关动作频率；开关动作频率间隔为周期性频率测试阶段，相邻两次开关动作发生的时间间隔；电压值为开关动作发生的前后两个时刻拟态配电网模型中故障段的电压值；电流值为开关动作发生的前后两个时刻拟态配电网模型中故障段的电流值。In this embodiment, the switching action frequency is the periodic frequency test stage. The switching action frequency of the switching element at each switch position in the target data is calculated based on the number of switching operations and the length of the time period; the switching action frequency interval is the periodic frequency. During the test phase, the time interval between two adjacent switching actions occurs; the voltage value is the voltage value of the fault section in the simulated distribution network model at the two moments before and after the switching action occurs; the current value is the simulated distribution network model at the two moments before and after the switching action occurs. The current value of the fault segment in the power grid model.
具体的，在拟态配电网模型中对执行保护动作策略数据库中每一故障类型所对应的每一项执行保护动作策略进行分别一次或多次测试，每一次周期性频率测试都对运行数据进行连续采集和智能分析，得到包括开关动作频率、开关动作频率间隔以及每次开关前后故障段的电压值、电流值的测试数据。Specifically, in the simulated distribution network model, each execution protection action strategy corresponding to each fault type in the execution protection action strategy database is tested once or multiple times, and each periodic frequency test is performed on the operating data. Through continuous collection and intelligent analysis, test data including switching action frequency, switching action frequency interval, and voltage and current values of the fault section before and after each switch are obtained.
S140、基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。S140. Based on the test data corresponding to the execution protection action policy, determine the security level of the execution protection action policy.
在本实施例中，安全性等级为根据每个执行保护动作策略的故障指标进行执行动作的等级划分，其中，故障指标为每个执行保护动作策略在拟态配电网模型中进行周期性频率测试时，得到的测试数据进行分析计算得到该执行保护动作策略在未来一段时间内出现故障的一项或多项指标。In this embodiment, the security level is the classification of execution actions according to the fault indicators of each execution protection action strategy, where the fault indicators are periodic frequency tests in the simulated distribution network model for each execution protection action strategy. At this time, the obtained test data is analyzed and calculated to obtain one or more indicators of failure of the execution protection action strategy in the future.
具体的，可以将执行保护动作策略的安全性等级预先划分为多个等级，即每一故障类型相应的多个执行保护动作策略可以划分为多个安全性等级类型，可以采用人工、深度学习或传统机器学习的方法对多个执行保护动作策略的测试数据进行分析计算，将相应多个执行保护动作策略进行分类，每个执行保护动作策略对应一个安全性等级类型。Specifically, the security level of the execution protection action strategy can be divided into multiple levels in advance, that is, the multiple execution protection action strategies corresponding to each fault type can be divided into multiple safety level types, which can use manual, deep learning or Traditional machine learning methods analyze and calculate the test data of multiple execution protection action strategies, and classify the corresponding multiple execution protection action strategies. Each execution protection action strategy corresponds to a security level type.
示例性的，可以根据执行保护动作策略对应的测试数据，将执行保护动作策略的安全性等级分为高和低两大类，并且在安全性等级低的分类中进一步将安全性等级区分出最佳的类型。可以采用基于神经网络的方法，根据每个执行保护动作策略对应的测试数据进行分类，实现所有执行保护动作策略的安全性等级划分。For example, according to the test data corresponding to the execution protection action policy, the security level of the execution protection action policy can be divided into two categories: high and low, and the security level can be further distinguished into the lowest security level in the classification of low security level. The best type. A neural network-based method can be used to classify the test data corresponding to each execution protection action strategy to achieve the security level classification of all execution protection action strategies.
为了更直观地衡量配电网的故障程度，可以用故障指标来体现在故障区域段使用执行保护动作策略进行故障恢复后配电网的运行情况。In order to measure the fault degree of the distribution network more intuitively, fault indicators can be used to reflect the operation of the distribution network after fault recovery using a protection action strategy in the fault area.
可选的，基于执行保护动作策略对应的测试数据确定执行保护动作策略的故障指标，故障指标包括故障率、故障次数、故障点数据和重复故障点数据的一项或多项；基于执行保护动作策略的故障指标确定执行保护动作策略的评价数据，基于评价数据和安全性等级阈值确定执行保护动作策略的安全性等级。Optionally, determine the fault indicators for executing the protection action strategy based on the test data corresponding to the execution protection action strategy. The fault indicators include one or more of the failure rate, number of faults, fault point data and repeated fault point data; based on the execution of the protection action strategy The fault indicators of the policy determine the evaluation data for executing the protection action policy, and the security level for executing the protection action policy is determined based on the evaluation data and the security level threshold.
在本实施例中，故障率为在拟态配电网模型中进行周期性频率测试阶段故障时间与整体周期性频率测试时间的百分比，即故障率＝[(停机等待时间+维修时间)/计划使用总时间]×100％。故障次数为周期性频率测试阶段故障出现的次数。故障点数据或重复故障点数据分别为拟态配电网模型进行周期性频率测试时，出现或重复出现的每个故障区域段的测试数据。评价数据为对故障指标综合分析的结果数据，用于评价执行保护动作策略的安全性。安全性等级阈值为预先设置的执行保护动作策略的安全性等级分类标准的阈值。In this embodiment, the failure rate is the percentage of the failure time during the periodic frequency test phase in the simulated distribution network model to the overall periodic frequency test time, that is, the failure rate = [(stop waiting time + maintenance time) / planned use Total time]×100%. The number of faults is the number of faults that occur during the periodic frequency test phase. Fault point data or repeated fault point data are the test data of each fault area segment that occurs or reoccurs when the simulated distribution network model is subjected to periodic frequency testing. The evaluation data is the result data of the comprehensive analysis of fault indicators and is used to evaluate the safety of the implementation of the protection action strategy. The security level threshold is the preset threshold of the security level classification standard for executing the protection action policy.
具体的，对执行保护动作策略在拟态配电网模型中进行周期性频率测试得到的测试数据进行分析计算，将该执行策略对应的故障类型的修复保护动作执行状况、路线执行状况和动作执行概率状况进行分析用故障指标进行表示，并利用故障指标对周期性频率测试时配电网所发生的故障频率、故障原因以及故障危害程度进行综合安全分析，得到该执行保护动作策略的评价数据，将该评价数据与预先设置的安全性等级阈值进行比较，实现对该执行保护动作策略的安全性等级分类，所属的安全性等级类别即为该执行保护动作策略的安全性等级。Specifically, the test data obtained from the periodic frequency test of the execution protection action strategy in the simulated distribution network model is analyzed and calculated, and the repair protection action execution status, route execution status and action execution probability of the fault type corresponding to the execution strategy are The situation is analyzed and represented by fault indicators, and the fault indicators are used to conduct a comprehensive safety analysis of the fault frequency, fault causes and fault hazards that occur in the distribution network during periodic frequency tests, and the evaluation data of the execution protection action strategy are obtained. The evaluation data is compared with a preset security level threshold to implement security level classification of the execution protection action policy. The security level category to which it belongs is the security level of the execution protection action policy.
示例性的，假设故障指标包括故障率、故障次数、故障点数据和重复故障点数据，评价数据为利用神经网络分析计算得到的综合值，安全性等级阈值为基于深度学习得到的执行保护动作策略安全性等级分类的标准阈值。预先训练安全性等级分类模型，使其输入为执行保护动作策略在拟态配电网模型中进行周期性频率测试得到的测试数据，根据训练数据确定安全性等级阈值，将计算得到的执行保护动作策略的评价数据与安全性等级阈值进行比较，输出该执行保护动作策略的安全性等级类型。利用训练好的安全性等级分类模型对执行保护动作策略进行安全性等级分类，如果评价数据大于安全性等级阈值，则认为该执行保护动作策略的安全性等级低，将该执行保护动作策略划分为安全性等级低的类型；如果评价数据小于安全性等级阈值，则认为该执行保护动作策略的安全性等级高，将该执行保护动作策略划分为安全性等级高的类型；如果评价数据小于安全性等级阈值且超出10％数值，则认为该执行保护动作策略的安全性等级最佳，将该执行保护动作策略进一步划分为安全性等级最佳的类型。For example, it is assumed that the failure indicators include failure rate, failure times, failure point data and repeated failure point data, the evaluation data is a comprehensive value calculated using neural network analysis, and the safety level threshold is an execution protection action strategy based on deep learning. Standard thresholds for security level classification. Pre-train the safety level classification model so that its input is the test data obtained by performing periodic frequency tests in the simulated distribution network model as the execution protection action strategy. The safety level threshold is determined based on the training data, and the calculated execution protection action strategy is The evaluation data is compared with the security level threshold, and the security level type of the execution protection action policy is output. Use the trained security level classification model to classify the security level of the execution protection action policy. If the evaluation data is greater than the security level threshold, the security level of the execution protection action policy is considered to be low, and the execution protection action policy is divided into A type with a low security level; if the evaluation data is less than the security level threshold, the security level of the execution protection action policy is considered to be high, and the execution protection action policy is classified into a type with a high security level; if the evaluation data is less than the security level If the level threshold exceeds 10%, then the execution protection action policy is considered to have the best security level, and the execution protection action policy is further divided into types with the best security level.
为了更准确的确定执行保护动作策略的故障指标，可以对测试数据进行分析，使得故障指标更符合执行保护动作策略的分类的需要，更为可靠。In order to more accurately determine the fault indicators for executing the protection action strategy, the test data can be analyzed to make the fault indicators more in line with the classification needs of the protection action strategy and more reliable.
可选的，对执行保护动作策略的多次周期性频率测试得到的测试数据进行故障识别，根据多次周期性频率测试的测试结果的故障识别结果，确定执行保护动作策略的故障指标。Optionally, perform fault identification on the test data obtained by executing multiple periodic frequency tests of the protection action strategy, and determine the fault indicators for executing the protection action strategy based on the fault identification results of the test results of multiple periodic frequency tests.
在本实施例中，故障识别为根据周期性频率测试时得到的测试结果识别拟态配电网模型是否出现配电网故障。In this embodiment, the fault identification is to identify whether a distribution network fault occurs in the simulated distribution network model based on the test results obtained during the periodic frequency test.
具体的，可以对多次同等周期性频率测试的测试结果进行分析，识别拟态配电网模型出现配电网故障时的测试数据并作为故障识别结果。对故障识别结果中的一项或多项测试数据进行综合分析，得到测试结果与故障指标的计算关系，确定执行保护动作策略的故障指标。Specifically, the test results of multiple equal periodic frequency tests can be analyzed, and the test data when a distribution network fault occurs in the simulated distribution network model can be identified and used as the fault identification result. Conduct a comprehensive analysis of one or more test data in the fault identification results, obtain the calculation relationship between the test results and the fault indicators, and determine the fault indicators for executing the protection action strategy.
示例性的，对故障识别结果中的一项或多项测试数据进行综合分析，可以使用人工智能算法(例如，机器学习)和/或传统数学模型算法(例如，因子分析)对故障识别结果中的测试数据进行综合分析，为每个测试数据项分配各自的权重。For example, to comprehensively analyze one or more test data in the fault identification results, artificial intelligence algorithms (for example, machine learning) and/or traditional mathematical model algorithms (for example, factor analysis) can be used to analyze the fault identification results. Conduct a comprehensive analysis of the test data and assign its own weight to each test data item.
本实施例的技术方案，通过获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级，可以实现对执行保护动作策略的安全性等级的快速划分，解决了缺少对配电网故障恢复执行动作的安全分析的问题，保障了配电网保护执行动作的可靠性，降低了故障恢复方案执行后配电网运行的风险。The technical solution of this embodiment is to obtain the distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data; determine the fault area in the distribution network Target data of the segment, load the target data into the simulated distribution network model; obtain multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies ; Based on the test data corresponding to the execution of the protection action strategy, the security level of the execution of the protection action strategy is determined, which can realize the rapid classification of the security level of the execution of the protection action strategy and solve the lack of safety analysis of the distribution network fault recovery execution action. problem, ensuring the reliability of distribution network protection execution actions and reducing the risk of distribution network operation after the fault recovery plan is implemented.
实施例二Embodiment 2
图2是本发明实施例二提供的一种执行保护动作策略的分类方法的流程图，本发明实施例的技术方案在上述任意实施例基础上进一步优化。如图2所示，该方法包括：Figure 2 is a flow chart of a classification method for executing protection action policies provided in Embodiment 2 of the present invention. The technical solution of the embodiment of the present invention is further optimized based on any of the above embodiments. As shown in Figure 2, the method includes:
S210、获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型。S210. Obtain distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data.
S220、确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型。S220. Determine the target data of the fault area segment in the distribution network, and load the target data into the simulated distribution network model.
S230、获取多个执行保护动作策略。S230. Obtain multiple execution protection action policies.
S240、对执行保护动作策略进行分类处理，得到至少两个类型的执行保护动作策略组。S240: Classify execution protection action policies to obtain at least two types of execution protection action policy groups.
在本实施例中，执行保护动作策略组是根据执行保护动作策略之间的相似程度将执行保护动作策略划分的组。In this embodiment, the execution protection action policy group is a group that divides the execution protection action policies according to the degree of similarity between the execution protection action policies.
具体的，通过根据执行保护动作策略之间的相似程度，将执行保护动作策略分类为两个或两个以上相似程度类别，将每个执行保护动作策略按照相似程度类别归属到相应的执行保护动作策略组。Specifically, the execution protection action policies are classified into two or more similarity categories according to the similarity between the execution protection action policies, and each execution protection action policy is assigned to the corresponding execution protection action according to the similarity category. Policy group.
示例性的，可以设置相似阈值范围，将相似程度在相似阈值范围内的执行保护动作策略分类为最优相似执行保护动作策略组，其他的执行保护动作策略分类为次选相似执行保护动作策略组。For example, a similarity threshold range can be set, and execution protection action policies with a degree of similarity within the similarity threshold range are classified into the optimal similar execution protection action policy group, and other execution protection action policies are classified into the second-best similar execution protection action policy group. .
对执行保护动作策略进行分类处理可以依赖人员的主观判断，也可以设置相似程度评价指标，确定分类标准。Classification of execution protection action strategies can rely on the subjective judgment of personnel, or similarity evaluation indicators can be set to determine classification standards.
可选的，确定备份策略与应用策略的相似度数据，基于相似度数据和类型划分阈值对备份策略进行类型划分。Optionally, determine the similarity data between the backup policy and the application policy, and classify the backup policy into types based on the similarity data and the type classification threshold.
在本实施例中，相似度数据为应用策略和备份策略之间的距离数据，用于评价应用策略和备份策略的相似程度。In this embodiment, the similarity data is the distance data between the application policy and the backup policy, and is used to evaluate the similarity between the application policy and the backup policy.
具体的，可以采用文本分类方法、统计方法、机器学习方法以及深度学习方法等方法对应用策略和备份策略进行特征提取，得到应用策略特征x和备份策略特征y，可以使用曼哈顿距离、切比雪夫距离和欧氏距离等方法得到应用策略特征x和备份策略特征y的相似度数据d，根据预先设置相似阈值范围以及每个备份策略与应用策略的相似度数据d，对每个备份策略进行分类并归属到相应的执行保护动作策略组。Specifically, text classification methods, statistical methods, machine learning methods, deep learning methods and other methods can be used to extract features of application policies and backup policies to obtain application policy features x and backup policy features y. Manhattan distance, Chebyshev can be used Methods such as distance and Euclidean distance are used to obtain the similarity data d between the application policy feature x and the backup policy feature y. Each backup policy is classified according to the preset similarity threshold range and the similarity data d between each backup policy and the application policy. And belong to the corresponding execution protection action policy group.
示例性的，可以采用下述公式的方法，计算得到应用策略特征x和备份策略特征y的相似度数据d：For example, the following formula can be used to calculate the similarity data d between the application policy feature x and the backup policy feature y:
将相似度数据d∈[0,1]的备份策略分类为最优相似执行保护动作策略组，将其他备份策略分类为次选相似执行保护动作策略组。The backup strategy of the similarity data d∈[0,1] is classified into the optimal similar execution protection action strategy group, and other backup strategies are classified into the second-selected similar execution protection action strategy group.
本实施例的技术方案，通过对相似度较高的执行保护动作策略分类到为相同执行保护动作策略组，将相同执行保护动作策略组的执行保护动作策略进行安全等级分类，提高分类精度，使得安全性分析结果更加可靠。The technical solution of this embodiment improves the classification accuracy by classifying execution protection action policies with high similarity into the same execution protection action policy group, and classifying the execution protection action policies of the same execution protection action policy group into security levels, so that Safety analysis results are more reliable.
S250、对于同一执行保护动作策略组内，对执行保护动作策略组内的多个执行保护动作策略分别进行周期性频率测试，得到每一执行保护动作策略对应的测试数据。S250. For the same execution protection action policy group, conduct periodic frequency tests on multiple execution protection action policies in the execution protection action policy group, and obtain test data corresponding to each execution protection action policy.
具体的，可以将每个执行保护动作策略组中的所有执行保护动作策略分别进行同等周期性频率测试，得到该执行保护动作策略组中的每一执行保护动作策略对应的测试数据。Specifically, all execution protection action policies in each execution protection action policy group can be tested at the same periodic frequency to obtain test data corresponding to each execution protection action policy in the execution protection action policy group.
可选的，对于同一执行保护动作策略组内，用一个代表执行保护动作策略来代表全部执行保护动作策略，对代表执行保护动作策略进行周期性频率测试，得到代表执行保护动作策略对应的测试数据。Optionally, for the same execution protection action policy group, use a representative execution protection action policy to represent all execution protection action policies, perform periodic frequency testing on the representative execution protection action policy, and obtain test data corresponding to the representative execution protection action policy .
具体的，针对每个执行保护动作策略组，可以用该执行保护动作策略组内的任一个执行保护动作策略组作为该执行保护动作策略组的代表执行保护动作策略，也可以根据该执行保护动作策略组内全部执行保护动作策略进行分析生成一个代表执行保护动作策略，本实施例对此不进行限制。只在拟态配电网模型中对代表执行保护动作策略进行模拟测试，得到的测试数据。Specifically, for each execution protection action policy group, any execution protection action policy group within the execution protection action policy group can be used as the representative execution protection action policy of the execution protection action policy group, or the execution protection action can be executed based on the execution protection action policy group. All execution protection action policies in the policy group are analyzed to generate a representative execution protection action policy, which is not limited in this embodiment. The test data obtained is only simulated and tested on behalf of the protection action strategy in the simulated distribution network model.
本实施例的技术方案，通过用执行保护动作策略组的代表执行保护动作策略的安全等级分类作为该执行保护动作策略组内全部执行保护动作策略的安全等级分类，节省了计算资源，提高了分类效率，大幅提高执行恢复方案后配电网工作的安全分析效率。The technical solution of this embodiment saves computing resources and improves classification by using the security level classification of the representative execution protection action policy of the execution protection action policy group as the security level classification of all execution protection action policies in the execution protection action policy group. efficiency, greatly improving the efficiency of safety analysis of distribution network work after the implementation of the recovery plan.
S260、基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。S260: Determine the security level of the execution protection action policy based on the test data corresponding to the execution protection action policy.
本实施例的技术方案，通过获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；获取多个执行保护动作策略；对执行保护动作策略进行分类处理，得到至少两个类型的执行保护动作策略组；对于同一执行保护动作策略组内，对执行保护动作策略组内的多个执行保护动作策略分别进行周期性频率测试，得到每一执行保护动作策略对应的测试数据；基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级，可以实现对执行保护动作策略的安全性等级的更精细的划分，使配电网故障恢复执行动作的安全分析更加全面可靠，进一步降低了故障恢复方案执行后配电网运行的风险。The technical solution of this embodiment is to obtain the distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data; determine the fault area in the distribution network The target data of the segment is loaded into the simulated distribution network model; multiple execution protection action strategies are obtained; the execution protection action strategies are classified and processed, and at least two types of execution protection action strategy groups are obtained; for the same execution protection action Within the policy group, perform periodic frequency tests on multiple execution protection action policies in the execution protection action policy group to obtain test data corresponding to each execution protection action policy; based on the test data corresponding to the execution protection action policy, determine the execution protection The security level of the action strategy can achieve a more precise division of the security level of the execution of the protection action strategy, making the security analysis of the distribution network fault recovery execution action more comprehensive and reliable, and further reducing the risk of the distribution network after the fault recovery plan is executed. Operational risks.
实施例三Embodiment 3
图3是本发明实施例三提供的一种执行保护动作策略的分类装置的结构示意图。如图3所示，该装置包括：Figure 3 is a schematic structural diagram of a classification device for executing a protection action strategy provided in Embodiment 3 of the present invention. As shown in Figure 3, the device includes:
模型构建模块310，用于获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；The model building module 310 is used to obtain distribution network data when the distribution network fails, and build a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data;
目标数据加载模块320，用于确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；The target data loading module 320 is used to determine the target data of the fault area segment in the distribution network and load the target data into the simulated distribution network model;
测试数据获取模块330，用于获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；The test data acquisition module 330 is used to obtain multiple execution protection action strategies, perform periodic frequency testing on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies;
等级确定模块340，用于基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。The level determination module 340 is configured to determine the security level of the execution protection action policy based on the test data corresponding to the execution protection action policy.
本实施例的技术方案，通过获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级，可以实现对执行保护动作策略的安全性等级的快速划分，解决了缺少对配电网故障恢复执行动作的安全分析的问题，保障了配电网保护执行动作的可靠性，降低了故障恢复方案执行后配电网运行的风险。The technical solution of this embodiment is to obtain the distribution network data when the distribution network fails, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data; determine the fault area in the distribution network Target data of the segment, load the target data into the simulated distribution network model; obtain multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies ; Based on the test data corresponding to the execution of the protection action strategy, the security level of the execution of the protection action strategy is determined, which can realize the rapid classification of the security level of the execution of the protection action strategy and solve the lack of safety analysis of the distribution network fault recovery execution action. problem, ensuring the reliability of distribution network protection execution actions and reducing the risk of distribution network operation after the fault recovery plan is implemented.
在上述实施例的基础上，可选的，目标数据中包括各开关位置、历史开关动作频率、最近一次开关动作时间、当前电压值和当前电流值。Based on the above embodiment, optionally, the target data includes each switch position, historical switching action frequency, latest switching action time, current voltage value and current current value.
在上述实施例的基础上，可选的，多个执行保护动作策略包括应用策略和备份策略，执行保护动作策略基于配电网的故障类型匹配得到。Based on the above embodiment, optionally, multiple execution protection action strategies include application strategies and backup strategies, and the execution protection action strategies are obtained based on matching fault types of the distribution network.
在上述实施例的基础上，可选的，周期性频率测试为单一执行保护动作策略的周期性频率测试，任一次周期性频率测试得到的测试数据包括开关动作频率、开关动作频率间隔以及每次开关前后故障段的电压值、电流值。Based on the above embodiment, optionally, the periodic frequency test is a periodic frequency test that executes a single protection action strategy. The test data obtained by any periodic frequency test includes the switching action frequency, the switching action frequency interval, and each time The voltage and current values of the fault section before and after the switch.
在上述实施例的基础上，可选的，等级确定模块340，具体包括：Based on the above embodiments, the optional level determination module 340 specifically includes:
故障指标确定单元，用于基于执行保护动作策略对应的测试数据确定执行保护动作策略的故障指标，故障指标包括故障率、故障次数、故障点数据和重复故障点数据的一项或多项；The fault indicator determination unit is used to determine the fault indicator for executing the protection action strategy based on the test data corresponding to the execution of the protection action strategy. The fault indicator includes one or more of failure rate, number of failures, fault point data and repeated fault point data;
安全性等级确定单元，用于基于执行保护动作策略的故障指标确定执行保护动作策略的评价数据，基于评价数据和安全性等级阈值确定执行保护动作策略的安全性等级。The security level determination unit is used to determine the evaluation data of the execution of the protection action strategy based on the fault indicator of the execution of the protection action strategy, and determine the security level of the execution of the protection action strategy based on the evaluation data and the security level threshold.
在上述实施例的基础上，可选的，故障指标确定单元，具体用于：对执行保护动作策略的多次周期性频率测试得到的测试数据进行故障识别，根据多次周期性频率测试的测试结果的故障识别结果，确定执行保护动作策略的故障指标。On the basis of the above embodiment, the optional fault indicator determination unit is specifically used to: perform fault identification on the test data obtained by performing multiple periodic frequency tests of the protection action strategy, and perform fault identification based on the test data of the multiple periodic frequency tests. The resulting fault identification results determine the fault indicators for executing the protection action strategy.
在上述实施例的基础上，可选的，测试数据获取模块330，包括：Based on the above embodiments, optionally, the test data acquisition module 330 includes:
策略获取单元，用于获取多个执行保护动作策略；The policy acquisition unit is used to acquire multiple execution protection action policies;
策略分类单元，用于对执行保护动作策略进行分类处理，得到至少两个类型的执行保护动作策略组；The policy classification unit is used to classify execution protection action policies and obtain at least two types of execution protection action policy groups;
测试数据获取单元，用于对于同一执行保护动作策略组内，对执行保护动作策略组内的多个执行保护动作策略分别进行周期性频率测试，得到每一执行保护动作策略对应的测试数据。The test data acquisition unit is configured to conduct periodic frequency tests on multiple execution protection action strategies within the same execution protection action strategy group, and obtain test data corresponding to each execution protection action strategy.
在上述实施例的基础上，可选的，策略分类单元，具体用于确定备份策略与应用策略的相似度数据，基于相似度数据和类型划分阈值对备份策略进行类型划分。Based on the above embodiment, optionally, the policy classification unit is specifically used to determine the similarity data between the backup policy and the application policy, and classify the backup policy based on the similarity data and the type classification threshold.
本发明实施例所提供的执行保护动作策略的分类装置可执行本发明任意实施例所提供的执行保护动作策略的分类方法，具备执行方法相应的功能模块和有益效果。The classification device for executing a protection action policy provided by an embodiment of the present invention can execute the classification method for executing a protection action policy provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.
实施例四Embodiment 4
图4是实现本发明实施例的执行保护动作策略的分类方法的电子设备的结构示意图。电子设备10旨在表示各种形式的数字计算机，诸如，膝上型计算机、台式计算机、工作台、个人数字助理、服务器、刀片式服务器、大型计算机和其它适合的计算机。电子设备还可以表示各种形式的移动装置，诸如，个人数字处理、蜂窝电话、智能电话、可穿戴设备(如头盔、眼镜、手表等)和其他类似的计算装置。本文所示的部件、它们的连接和关系，以及它们的功能仅仅作为示例，并且不意在限制本文中描述的和/或者要求的本发明的实现。FIG. 4 is a schematic structural diagram of an electronic device that implements a classification method for executing protection action policies according to an embodiment of the present invention. Electronic device 10 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices (eg, helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are examples only and are not intended to limit the implementation of the invention described and/or claimed herein.
如图4所示，电子设备10包括至少一个处理器11，以及与至少一个处理器11通信连接的存储器，如只读存储器(ROM)12、随机访问存储器(RAM)13等，其中，存储器存储有可被至少一个处理器执行的计算机程序，处理器11可以根据存储在只读存储器(ROM)12中的计算机程序或者从存储单元18加载到随机访问存储器(RAM)13中的计算机程序，来执行各种适当的动作和处理。在RAM 13中，还可存储电子设备10操作所需的各种程序和数据。处理器11、ROM 12以及RAM 13通过总线14彼此相连。输入/输出(I/O)接口15也连接至总线14。As shown in Figure 4, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores There is a computer program that can be executed by at least one processor. The processor 11 can perform the operation according to the computer program stored in the read-only memory (ROM) 12 or loaded from the storage unit 18 into the random access memory (RAM) 13. Perform various appropriate actions and processing. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via the bus 14. An input/output (I/O) interface 15 is also connected to bus 14 .
电子设备10中的多个部件连接至I/O接口15，包括：输入单元16，例如键盘、鼠标等；输出单元17，例如各种类型的显示器、扬声器等；存储单元18，例如磁盘、光盘等；以及通信单元19，例如网卡、调制解调器、无线通信收发机等。通信单元19允许电子设备10通过诸如因特网的计算机网络和/或各种电信网络与其他设备交换信息/数据。Multiple components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc. etc.; and communication unit 19, such as network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices through computer networks such as the Internet and/or various telecommunications networks.
处理器11可以是各种具有处理和计算能力的通用和/或专用处理组件。处理器11的一些示例包括但不限于中央处理单元(CPU)、图形处理单元(GPU)、各种专用的人工智能(AI)计算芯片、各种运行机器学习模型算法的处理器、数字信号处理器(DSP)，以及任何适当的处理器、控制器、微控制器等。处理器11执行上文所描述的各个方法和处理，例如执行保护动作策略的分类。Processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processing processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs various methods and processes described above, such as performing classification of protection action policies.
在一些实施例中，执行保护动作策略的分类可被实现为计算机程序，其被有形地包含于计算机可读存储介质，例如存储单元18。在一些实施例中，计算机程序的部分或者全部可以经由ROM 12和/或通信单元19而被载入和/或安装到电子设备10上。当计算机程序加载到RAM 13并由处理器11执行时，可以执行上文描述的执行保护动作策略的分类的一个或多个步骤。备选地，在其他实施例中，处理器11可以通过其他任何适当的方式(例如，借助于固件)而被配置为执行保护动作策略的分类。In some embodiments, the classification of execution protection action policies may be implemented as a computer program that is tangibly embodied in a computer-readable storage medium, such as storage unit 18 . In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19 . When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps described above for performing the classification of the protective action policy may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform classification of protective action policies in any other suitable manner (eg, by means of firmware).
本文中以上描述的系统和技术的各种实施方式可以在数字电子电路系统、集成电路系统、场可编程门阵列(FPGA)、专用集成电路(ASIC)、专用标准产品(ASSP)、芯片上系统的系统(SOC)、负载可编程逻辑设备(CPLD)、计算机硬件、固件、软件和/或它们的组合中实现。这些各种实施方式可以包括：实施在一个或者多个计算机程序中，该一个或者多个计算机程序可在包括至少一个可编程处理器的可编程系统上执行和/或解释，该可编程处理器可以是专用或者通用可编程处理器，可以从存储系统、至少一个输入装置和至少一个输出装置接收数据和指令，并且将数据和指令传输至该存储系统、该至少一个输入装置和该至少一个输出装置。Various implementations of the systems and techniques described above may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip implemented in a system (SOC), load programmable logic device (CPLD), computer hardware, firmware, software and/or a combination thereof. These various embodiments may include implementation in one or more computer programs executable and/or interpreted on a programmable system including at least one programmable processor, the programmable processor The processor, which may be a special purpose or general purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device. device.
用于实施本发明的执行保护动作策略的分类的计算机程序可以采用一个或多个编程语言的任何组合来编写。这些计算机程序可以提供给通用计算机、专用计算机或其他可编程数据处理装置的处理器，使得计算机程序当由处理器执行时使流程图和/或框图中所规定的功能/操作被实施。计算机程序可以完全在机器上执行、部分地在机器上执行，作为独立软件包部分地在机器上执行且部分地在远程机器上执行或完全在远程机器或服务器上执行。Computer programs for implementing the classification of execution protection action strategies of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that the computer program, when executed by the processor, causes the functions/operations specified in the flowcharts and/or block diagrams to be implemented. A computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
实施例五Embodiment 5
本发明实施例五还提供了一种计算机可读存储介质，计算机可读存储介质存储有计算机指令，计算机指令用于使处理器执行一种执行保护动作策略的分类方法，该方法包括：Embodiment 5 of the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores computer instructions. The computer instructions are used to cause the processor to execute a classification method for executing a protection action policy. The method includes:
获取配电网故障时的配电网数据，根据配电网数据和配电网分布数据构建虚拟仿真空间中的拟态配电网模型；确定配电网中故障区域段的目标数据，将目标数据加载到拟态配电网模型；获取多个执行保护动作策略，基于拟态配电网模型对执行保护动作策略进行周期性频率测试，得到执行保护动作策略对应的测试数据；基于执行保护动作策略对应的测试数据，确定执行保护动作策略的安全性等级。Obtain the distribution network data when the distribution network is faulty, and construct a simulated distribution network model in the virtual simulation space based on the distribution network data and distribution network distribution data; determine the target data of the faulty area segment in the distribution network, and convert the target data Load into the simulated distribution network model; obtain multiple execution protection action strategies, conduct periodic frequency tests on the execution protection action strategies based on the simulated distribution network model, and obtain test data corresponding to the execution protection action strategies; based on the execution protection action strategies corresponding Test data to determine the security level of implementing protection action strategies.
在本发明的上下文中，计算机可读存储介质可以是有形的介质，其可以包含或存储以供指令执行系统、装置或设备使用或与指令执行系统、装置或设备结合地使用的计算机程序。计算机可读存储介质可以包括但不限于电子的、磁性的、光学的、电磁的、红外的，或半导体系统、装置或设备，或者上述内容的任何合适组合。备选地，计算机可读存储介质可以是机器可读信号介质。机器可读存储介质的更具体示例会包括基于一个或多个线的电气连接、便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦除可编程只读存储器(EPROM或快闪存储器)、光纤、便捷式紧凑盘只读存储器(CD-ROM)、光学储存设备、磁储存设备，或上述内容的任何合适组合。In the context of this invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, laptop disks, hard drives, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.
为了提供与用户的交互，可以在电子设备上实施此处描述的系统和技术，该电子设备具有：用于向用户显示信息的显示装置(例如，CRT(阴极射线管)或者LCD(液晶显示器)监视器)；以及键盘和指向装置(例如，鼠标或者轨迹球)，用户可以通过该键盘和该指向装置来将输入提供给电子设备。其他种类的装置还可以用于提供与用户的交互；例如，提供给用户的反馈可以是任何形式的传感反馈(例如，视觉反馈、听觉反馈，或者触觉反馈)；并且可以用任何形式(包括声输入、语音输入或者，触觉输入)来接收来自用户的输入。To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having a display device (eg, a CRT (cathode ray tube) or LCD (liquid crystal display)) for displaying information to the user monitor); and a keyboard and pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and may be provided in any form, including (acoustic input, voice input, or tactile input) to receive input from the user.
可以将此处描述的系统和技术实施在包括后台部件的计算系统(例如，作为数据服务器)，或者包括中间件部件的计算系统(例如，应用服务器)，或者包括前端部件的计算系统(例如，具有图形用户界面或者网络浏览器的用户计算机，用户可以通过该图形用户界面或者该网络浏览器来与此处描述的系统和技术的实施方式交互)，或者包括这种后台部件、中间件部件，或者前端部件的任何组合的计算系统中。可以通过任何形式或者介质的数字数据通信(例如，通信网络)来将系统的部件相互连接。通信网络的示例包括：局域网(LAN)、广域网(WAN)、区块链网络和互联网。The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., A user's computer having a graphical user interface or web browser through which the user can interact with implementations of the systems and technologies described herein), or including such backend components, middleware components, or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communications network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.
计算系统可以包括客户端和服务器。客户端和服务器一般远离彼此并且通常通过通信网络进行交互。通过在相应的计算机上运行并且彼此具有客户端-服务器关系的计算机程序来产生客户端和服务器的关系。服务器可以是云服务器，又称为云计算服务器或云主机，是云计算服务体系中的一项主机产品，以解决了传统物理主机与VPS服务中，存在的管理难度大，业务扩展性弱的缺陷。Computing systems may include clients and servers. Clients and servers are generally remote from each other and typically interact over a communications network. The relationship of client and server is created by computer programs running on corresponding computers and having a client-server relationship with each other. The server can be a cloud server, also known as cloud computing server or cloud host. It is a host product in the cloud computing service system to solve the problems of difficult management and weak business scalability in traditional physical hosts and VPS services. defect.
应该理解，可以使用上面所示的各种形式的流程，重新排序、增加或删除步骤。例如，本发明中记载的各步骤可以并行地执行也可以顺序地执行也可以不同的次序执行，只要能够实现本发明的技术方案所期望的结果，本文在此不进行限制。It should be understood that various forms of the process shown above may be used, with steps reordered, added or deleted. For example, each step described in the present invention can be executed in parallel, sequentially, or in different orders. As long as the desired results of the technical solution of the present invention can be achieved, there is no limitation here.
上述具体实施方式，并不构成对本发明保护范围的限制。本领域技术人员应该明白的是，根据设计要求和其他因素，可以进行各种修改、组合、子组合和替代。任何在本发明的精神和原则之内所作的修改、等同替换和改进等，均应包含在本发明保护范围之内。The above-mentioned specific embodiments do not constitute a limitation on the scope of the present invention. It will be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions are possible depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311221802.0ACN117195055A (en) | 2023-09-21 | 2023-09-21 | Classification method, device, equipment and medium for executing protection action strategy |
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|---|---|---|---|
| CN202311221802.0ACN117195055A (en) | 2023-09-21 | 2023-09-21 | Classification method, device, equipment and medium for executing protection action strategy |
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| CN117195055Atrue CN117195055A (en) | 2023-12-08 |
| Application Number | Title | Priority Date | Filing Date |
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| CN202311221802.0APendingCN117195055A (en) | 2023-09-21 | 2023-09-21 | Classification method, device, equipment and medium for executing protection action strategy |
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| CN (1) | CN117195055A (en) |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000048284A1 (en)* | 1999-02-12 | 2000-08-17 | Alstom T&D Bitronics, Inc. | A distributed monitoring and protection system for a distributed power network |
| CN101989766A (en)* | 2009-08-03 | 2011-03-23 | 南京南瑞继保电气有限公司 | Method for diagnosing faults of power system on the basis of protecting action chain |
| US20110145154A1 (en)* | 2009-12-10 | 2011-06-16 | Bank Of America Corporation | Policy Development Criticality And Complexity Ratings |
| US20120054824A1 (en)* | 2009-04-10 | 2012-03-01 | Ryo Furukawa | Access control policy template generating device, system, method and program |
| CN115864323A (en)* | 2022-01-13 | 2023-03-28 | 中国电力科学研究院有限公司 | Backup protection method and system for mixed layered power distribution network region |
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2000048284A1 (en)* | 1999-02-12 | 2000-08-17 | Alstom T&D Bitronics, Inc. | A distributed monitoring and protection system for a distributed power network |
| US20120054824A1 (en)* | 2009-04-10 | 2012-03-01 | Ryo Furukawa | Access control policy template generating device, system, method and program |
| CN102388387A (en)* | 2009-04-10 | 2012-03-21 | 日本电气株式会社 | Access-control-policy template generating device, and system, method and program thereof |
| CN101989766A (en)* | 2009-08-03 | 2011-03-23 | 南京南瑞继保电气有限公司 | Method for diagnosing faults of power system on the basis of protecting action chain |
| US20110145154A1 (en)* | 2009-12-10 | 2011-06-16 | Bank Of America Corporation | Policy Development Criticality And Complexity Ratings |
| CN115864323A (en)* | 2022-01-13 | 2023-03-28 | 中国电力科学研究院有限公司 | Backup protection method and system for mixed layered power distribution network region |
| Publication | Publication Date | Title |
|---|---|---|
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