

技术领域technical field
本发明涉及电力供电保障领域,尤其是涉及一种基于电力物联网的配电网供电保障系统。The invention relates to the field of power supply guarantee, in particular to a power distribution network power supply guarantee system based on the power Internet of things.
背景技术Background technique
随着电力技术、信息化技术的不断发展,越来越多的技术手段运用到电网的供电服务和保障工作中,用户对供电可靠性的提高,配电网的安全稳定运行显得尤为重要。配电网网架复杂、设备数量多、涉及面广,往往给配电网带来了潜在的风险,因此对配电网供电能力进行风险评估具有重要的现实意义。With the continuous development of power technology and information technology, more and more technical means are applied to the power supply service and guarantee work of the power grid. It is particularly important for users to improve the reliability of power supply and the safe and stable operation of the distribution network. The distribution network network structure is complex, the number of equipment is large, and the coverage is wide, which often brings potential risks to the distribution network. Therefore, the risk assessment of the power supply capacity of the distribution network is of great practical significance.
但是目前的供电保障系统只限于对少量数据的采集,同时也缺少数据分析和处理能力;由于缺少实时反馈的设备参数信息、高效的通信方式以及缺少数据分析和处理能力,导致故障查找比较慢,应急抢修等供电服务的响应时间比较长,且目前电网供电服务保障系统在可视化、自动化和智能化程度上有待提高。However, the current power supply guarantee system is only limited to the collection of a small amount of data, and also lacks data analysis and processing capabilities; due to the lack of real-time feedback equipment parameter information, efficient communication methods, and lack of data analysis and processing capabilities, the fault finding is relatively slow. The response time of power supply services such as emergency repairs is relatively long, and the current grid power supply service guarantee system needs to be improved in terms of visualization, automation and intelligence.
发明内容SUMMARY OF THE INVENTION
本发明的目的就是为了克服上述现有技术存在的缺陷而提供一种自动化和智能化的基于电力物联网的配电网供电保障系统。The purpose of the present invention is to provide an automatic and intelligent power distribution network power supply guarantee system based on the power Internet of things in order to overcome the above-mentioned defects of the prior art.
本发明的目的可以通过以下技术方案来实现:The object of the present invention can be realized through the following technical solutions:
一种基于电力物联网的配电网供电保障系统,包括:A power distribution network power supply guarantee system based on the power Internet of things, comprising:
采集单元:采集电网数据;Collection unit: collect power grid data;
数据分析单元:获取历史电网数据并进行数据处理;Data analysis unit: obtain historical power grid data and perform data processing;
智能控制单元:根据数据处理结果对电网供电系统进行控制;Intelligent control unit: control the power grid power supply system according to the data processing results;
辅助决策单元:通过深度学习,根据数据处理和系统控制结果,辅助提供辅助决策方案。Auxiliary decision-making unit: Through deep learning, according to the results of data processing and system control, it assists in providing auxiliary decision-making solutions.
采集单元采集电网运行、实时状态、环境监测等相关数据,实现电网状态全面感知;The collection unit collects relevant data such as power grid operation, real-time status, and environmental monitoring to realize comprehensive perception of power grid status;
数据分析单元将采集的电网状态相关数据与电网历史运行数据进行数据处理,利用现有的数据分析技术进行电网运行状态的智能研判;The data analysis unit performs data processing on the collected power grid state-related data and the power grid historical operation data, and uses the existing data analysis technology to conduct intelligent research and judgment on the power grid operation state;
智能控制单元根据数据处理、智能研判的结果,系统通过工单化管理的方式支持电网的主动运维;The intelligent control unit supports the active operation and maintenance of the power grid by means of work order management according to the results of data processing and intelligent research and judgment;
辅助决策单元通过深度学习,综合电网规划、技改、运维等多层面专业需求,提供电网规划、电网运维、监控指挥登相关的辅助决策方案。The auxiliary decision-making unit provides auxiliary decision-making schemes related to power grid planning, power grid operation and maintenance, and monitoring, command and registration through deep learning and comprehensive multi-level professional needs such as power grid planning, technical transformation, and operation and maintenance.
进一步地,所述的采集单元包括终端、传感器和物联装置,所述的终端包括电网二次设备。Further, the collection unit includes a terminal, a sensor and an IoT device, and the terminal includes a secondary equipment of the power grid.
进一步地,所述的电网数据包括电网运行数据和电网环境数据。Further, the grid data includes grid operation data and grid environment data.
更进一步地,所述的电网二次设备包括变压器、断路器、无功补偿器、电容器和/或继电器,用于采集电网运行数据。Further, the power grid secondary equipment includes transformers, circuit breakers, reactive power compensators, capacitors and/or relays for collecting power grid operation data.
更进一步地,所述的传感器包括温度传感器、湿度传感器、气体传感器、液体传感器、震动传感器、压力传感器和/或光敏传感器,用于采集电网环境数据。Further, the sensors include temperature sensors, humidity sensors, gas sensors, liquid sensors, vibration sensors, pressure sensors and/or photosensitive sensors for collecting grid environment data.
更进一步地,所述的物联装置包括智能井盖、智能机器人、通道监拍设备、无人机、变配电辅控、智能头盔、低压监测器和/或电缆震动器,用于将电网数据实时传输至数据分析组件。Further, the IoT device includes smart manhole covers, smart robots, channel monitoring equipment, drones, power distribution auxiliary control, smart helmets, low-voltage monitors and/or cable vibrators, which are used to convert power grid data. Real-time transmission to the data analysis component.
进一步地,所述的数据分析单元包括数据库和分析服务器,所述的数据库中存储多种数据分析模型,所述的分析服务器利用数据分析模型,对电网数据进行大数据分析,获取多维度数据分析结果。Further, the data analysis unit includes a database and an analysis server, wherein a variety of data analysis models are stored in the database, and the analysis server uses the data analysis model to perform big data analysis on power grid data and obtain multi-dimensional data analysis. result.
更进一步地,所述的多维度数据分析结果包括供电预测结果、供电研判结果、设备健康状态结果、绿色电力评价结果和异常天气监测结果。Further, the multi-dimensional data analysis results include power supply prediction results, power supply research and judgment results, equipment health status results, green power evaluation results, and abnormal weather monitoring results.
进一步地,所述的智能控制单元根据多维度数据分析结果,通过工单化管理的方式对电网设备故障进行自动响应和/或抢修控制,实现电网供电主动运维。Further, according to the multi-dimensional data analysis result, the intelligent control unit automatically responds and/or controls the emergency repair of power grid equipment failures by means of work order management, so as to realize active operation and maintenance of power grid power supply.
进一步地,所述的辅助决策单元获取多维数据分析结果和电网供电主动运维结果,输入深度学习网络,用于提供包括电网规划、电网运维和指挥控制的的辅助决策方案。Further, the auxiliary decision-making unit obtains multi-dimensional data analysis results and active operation and maintenance results of power grid power supply, and inputs them into the deep learning network to provide auxiliary decision-making schemes including power grid planning, power grid operation and maintenance, and command and control.
与现有技术相比,本发明具有以下优点:Compared with the prior art, the present invention has the following advantages:
1)本发明可实现电网的全面感知,故障智能研判、配网主动运维的功能,更能综合大数据分析技术,为电网的运行指挥提供辅助决策,可以有效提高电网供电保障的效率,提高电网供电保障自动化、可视化、智能化程度;1) The present invention can realize the functions of comprehensive perception of the power grid, intelligent judgment of faults, and active operation and maintenance of the distribution network, and can integrate big data analysis technology to provide auxiliary decision-making for the operation command of the power grid, which can effectively improve the efficiency of power supply guarantee of the power grid and improve the efficiency of the power grid. The degree of automation, visualization and intelligence of grid power supply guarantee;
2)本发明系统基于电力物联网的建设,可以接入变电站辅控、通道监拍、光纤震动、智能井盖、无人机、配电站辅控、智能巡检机器人、智能配变终端等各类智能物联装备,实现全网状态全面感知、实时监控,提高数据采集发送的效率和范围;2) The system of the present invention is based on the construction of the power Internet of things, and can be connected to substation auxiliary control, channel monitoring, optical fiber vibration, intelligent manhole cover, drone, distribution substation auxiliary control, intelligent inspection robot, intelligent distribution and transformation terminal, etc. It is a kind of intelligent IoT equipment, which realizes comprehensive perception and real-time monitoring of the whole network status, and improves the efficiency and scope of data collection and transmission;
3)本发明系统基于大量、实时的感知数据和电网抢修历史数据,利用云计算、大数据分析、数据分析图形化等技术手段,对电网的运行状态、负荷状态、电网故障等进行预测分析和研判,有助于合理化配置抢修资源,提高故障抢修效率;3) The system of the present invention is based on a large amount of real-time sensing data and power grid emergency repair historical data, and uses cloud computing, big data analysis, data analysis graphics and other technical means to predict and analyze the operating status, load status, power grid faults, etc. of the power grid. Research and judgment will help rationalize the allocation of emergency repair resources and improve the efficiency of emergency repair;
4)本发明系统利用大数据分析和智能研判的结果,可以对电网异常、故障恢复等等进行自动响应,通过移动作业工具及对电网智能设备的控制,实现主动运维功能;4) The system of the present invention utilizes the results of big data analysis and intelligent research and judgment to automatically respond to grid anomalies, fault recovery, etc., and realizes active operation and maintenance functions by moving operating tools and controlling smart grid equipment;
5)本发明系统可以为指挥人员提供电网供电服务、抢修作业管理的全过程管控,向指挥人员及作业人员提供故障辅助决策,缩短了故障恢复时间,提高了工作效率。5) The system of the present invention can provide commanders with power grid power supply services and whole-process management and control of emergency repair operation management, and provide commanders and operators with auxiliary fault decision-making, which shortens the fault recovery time and improves work efficiency.
附图说明Description of drawings
图1为本发明系统结构示意图;1 is a schematic diagram of the system structure of the present invention;
图2为本发明系统分层结构图。FIG. 2 is a hierarchical structure diagram of the system of the present invention.
具体实施方式Detailed ways
下面结合附图和具体实施例对本发明进行详细说明。显然,所描述的实施例是本发明的一部分实施例,而不是全部实施例。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的前提下所获得的所有其他实施例,都应属于本发明保护的范围。The present invention will be described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the described embodiments are some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
实施例Example
如图1所示,本发明提供一种基于电力物联网的配电网供电保障系统,包括:As shown in FIG. 1 , the present invention provides a power distribution network power supply guarantee system based on the Internet of Things, including:
采集单元:采集电网数据;Collection unit: collect power grid data;
数据分析单元:获取历史电网数据并进行数据处理;Data analysis unit: obtain historical power grid data and perform data processing;
智能控制单元:根据数据处理结果对电网供电系统进行控制;Intelligent control unit: control the power grid power supply system according to the data processing results;
辅助决策单元:通过深度学习,根据数据处理和系统控制结果,辅助提供辅助决策方案。Auxiliary decision-making unit: Through deep learning, according to the results of data processing and system control, it assists in providing auxiliary decision-making solutions.
数据采集单元采集电网运行、实时状态、环境监测等相关数据,用于实现电网状态的全面感知;The data acquisition unit collects relevant data such as power grid operation, real-time status, and environmental monitoring to realize comprehensive perception of power grid status;
数据分析将采集的电网状态相关数据与电网历史运行数据进行数据处理,利用大数据分析和人工智能技术进行电网运行状态的智能研判,比如:故障原因分析、故障类型判定、故障定位、设备运行风险、智能派单(最优人员选择、最优地址、路径)等;Data analysis The collected data related to the state of the power grid and the historical operation data of the power grid are processed, and the big data analysis and artificial intelligence technology are used to carry out intelligent research and judgment on the operation state of the power grid, such as: fault cause analysis, fault type determination, fault location, equipment operation risk , intelligent dispatch (optimal personnel selection, optimal address, route), etc.;
智能控制单元根据数据处理和智能研判的结果,系统主动生成工单,选择人员、车辆、地址等开始电网运维工作,即通过工单化管理的方式支持电网的主动运维,替代以前认为的派工方式,更加主动和高效;According to the results of data processing and intelligent research and judgment, the intelligent control unit automatically generates work orders, and selects personnel, vehicles, addresses, etc. to start the grid operation and maintenance work, that is, it supports the active operation and maintenance of the grid through the management of work orders, replacing the previously thought. The way of dispatching workers is more active and efficient;
辅助决策单元通过深度学习,综合电网规划、技改、运维等多层面专业需求,提供电网规划、电网运维、监控指挥登相关的辅助决策方案,电网需要做规划、架构调整、电网运维的监控指挥等,辅助决策单元能够给出更好的决策和建议,而过往多是靠人的工作经验累计、知识水平做判断的。Through in-depth learning, the auxiliary decision-making unit integrates multi-level professional needs such as power grid planning, technical transformation, operation and maintenance, and provides auxiliary decision-making solutions related to power grid planning, power grid operation and maintenance, monitoring and commanding. The power grid needs to do planning, structure adjustment, power grid operation and maintenance The auxiliary decision-making unit can give better decision-making and suggestions, but in the past, it was mostly based on the accumulation of human work experience and knowledge level to make judgments.
如图2所示,采集单元用于对电网的设备、运行状态、运行环境等各项电网数据进行采集,电网数据包括电网运行数据和电网环境数据。采集单元包括设置在电网或其所在运行环境,用于采集电网数据、环境数据的各种传感器和物联装置等,达到电网全状态感知,具体为包括终端、传感器和物联装置,终端包括电网二次设备。As shown in Figure 2, the collection unit is used to collect various power grid data such as equipment, operating status, and operating environment of the power grid, and the power grid data includes power grid operation data and power grid environment data. The acquisition unit includes various sensors and IoT devices installed in the power grid or its operating environment for collecting grid data and environmental data, so as to achieve full state awareness of the power grid, specifically including terminals, sensors and IoT devices, and the terminals include power grids. secondary equipment.
其中,电网二次设备包括变压器、断路器、无功补偿器、电容器和/或继电器,用于采集电网运行数据。传感器包括温度传感器、湿度传感器、气体传感器、液体传感器、震动传感器、压力传感器和/或光敏传感器,用于采集电网环境数据。物联装置包括智能井盖、智能机器人、通道监拍设备、无人机、变配电辅控、智能头盔、低压监测器和/或电缆震动器,用于将电网数据实时传输至数据分析组件,通过无线网络将监测的数据实时传输到系统,实现对电网的全面感知、实时监控。Wherein, the secondary equipment of the power grid includes transformers, circuit breakers, reactive power compensators, capacitors and/or relays, and is used to collect power grid operation data. The sensors include temperature sensors, humidity sensors, gas sensors, liquid sensors, vibration sensors, pressure sensors and/or photosensitive sensors, and are used to collect grid environment data. IoT devices include smart manhole covers, smart robots, channel monitoring equipment, drones, power distribution auxiliary controls, smart helmets, low-voltage monitors and/or cable vibrators for real-time transmission of grid data to data analysis components, The monitored data is transmitted to the system in real time through the wireless network to realize comprehensive perception and real-time monitoring of the power grid.
如图2所示,数据分析单元包括数据库和分析服务器,数据库中存储多种数据分析模型,分析服务器利用数据分析模型,对电网数据进行大数据分析,获取多维度数据分析结果,其中,多维度数据分析结果包括供电预测结果、供电研判结果、设备健康状态结果、绿色电力评价结果和异常天气监测结果,实现智能预测、智能研判、智能派单、设备健康状态评估,绿色电力评价、异常天气监测分析等功能。As shown in Figure 2, the data analysis unit includes a database and an analysis server. The database stores various data analysis models. The analysis server uses the data analysis models to perform big data analysis on power grid data and obtain multi-dimensional data analysis results. The data analysis results include power supply prediction results, power supply research and judgment results, equipment health status results, green power evaluation results and abnormal weather monitoring results, enabling intelligent forecasting, intelligent research and judgment, intelligent dispatch, equipment health status evaluation, green power evaluation, and abnormal weather monitoring. analysis, etc.
智能控制单元根据多维度数据分析结果,对智能设备的控制,通过工单化管理的方式对电网设备故障进行自动响应和/或抢修控制,实现电网供电主动运维,主要包括设备运维、智能巡检、主动抢修(主动工单)等。The intelligent control unit controls the intelligent equipment according to the multi-dimensional data analysis results, and automatically responds to and/or emergency repairs control of power grid equipment failures through work order management, so as to realize the active operation and maintenance of power grid power supply, mainly including equipment operation and maintenance, intelligent Inspection, active repair (active work order), etc.
辅助决策单元获取多维数据分析结果和电网供电主动运维结果,输入深度学习网络,用于提供包括电网规划、电网运维和指挥控制的的辅助决策方案,实现以下至少一点的功能,包括资源监控、移动作业、供电服务、故障预案演练,可靠性管控,异常报警、智能指挥等功能,用于协助指挥人员对电网的运行、故障抢修作辅助决策分析。The auxiliary decision-making unit obtains the multi-dimensional data analysis results and the active operation and maintenance results of power grid power supply, and inputs them into the deep learning network to provide auxiliary decision-making schemes including power grid planning, power grid operation and maintenance, and command and control, and realizes at least one of the following functions, including resource monitoring. , mobile operation, power supply service, fault plan drill, reliability control, abnormal alarm, intelligent command and other functions, which are used to assist commanders to make auxiliary decision-making analysis on the operation and fault repair of the power grid.
以上所述,仅为本发明的具体实施方式,但本发明的保护范围并不局限于此,任何熟悉本技术领域的工作人员在本发明揭露的技术范围内,可轻易想到各种等效的修改或替换,这些修改或替换都应涵盖在本发明的保护范围之内。因此,本发明的保护范围应以权利要求的保护范围为准。The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited to this. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed by the present invention. Modifications or substitutions should be included within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.
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| CN202010761375.5ACN111900801A (en) | 2020-07-31 | 2020-07-31 | A power supply guarantee system for distribution network based on power Internet of things |
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| CN202010761375.5ACN111900801A (en) | 2020-07-31 | 2020-07-31 | A power supply guarantee system for distribution network based on power Internet of things |
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| RJ01 | Rejection of invention patent application after publication | Application publication date:20201106 |