技术领域technical field
本发明涉及智能配电网高效性评估的数据处理方法，属于配电网理论与信息论的交叉技术应用领域。The invention relates to a data processing method for high-efficiency evaluation of an intelligent distribution network, and belongs to the cross-technical application field of distribution network theory and information theory.
背景技术Background technique
智能电网是未来电网的发展趋势，具有安全、自愈、互动、兼容、清洁、高效、优质等特征，在应对气候变化、保障国家能源安全、促进绿色经济发展、推动电力行业能源结构调整等方面具有重要作用，其核心驱动力是解决能源安全与环保问题、应对气候变化。智能配电网是智能电网的重要组成部分，具有智能电网的基本特征。分布式电源和大容量储能系统的推广应用，微电网和电动汽车的接入，冷、热、电联产等多种供能方式共存，中央空调等大容量动态负荷越来越多，智能设备的开发和应用，使智能配电网中的电源、负荷呈现广域分布的特征，用户参与互动改变了负荷的变化规律，能量、信息和业务双向流动。Smart grid is the development trend of the future power grid. It has the characteristics of safety, self-healing, interaction, compatibility, cleanliness, high efficiency, and high quality. It plays an important role, and its core driving force is to solve energy security and environmental protection issues and address climate change. Smart distribution network is an important part of smart grid and has the basic characteristics of smart grid. The popularization and application of distributed power sources and large-capacity energy storage systems, the access of micro-grids and electric vehicles, the coexistence of various energy supply methods such as cooling, heating, and electricity cogeneration, and the increasing number of large-capacity dynamic loads such as central air-conditioning. The development and application of equipment makes the power supply and load in the smart distribution network present the characteristics of wide-area distribution. User participation and interaction change the change law of load, and energy, information and business flow in two directions.
能源环境压力对智能配电网提出了高效运行的需求，智能配电网能够采用多种手段实现高效运行。合理规划和利用分布式电源能够缩小故障影响范围、改善潮流分布、减少能量的远距输送、实现节能减排。合理引导用户参与互动能够改善电网运行水平、降低峰谷差、减少或延缓电网建设投资。分布式电源的出力稳定性和可调可控性较差，渗透率越高电网安全稳定运行的风险就越大。用户的互动行为具有自发性和随机性，使负荷特性的变化难以预测，不加以合理引导将影响电网的安全稳定运行。对智能配电网的高效性进行评估是制定科学建设方案、充分利用分布式能源、促进用户参与互动、引导高效性发展的理论依据，具有理论研究意义和实用价值。The pressure of the energy environment puts forward the demand for efficient operation of the smart distribution network, and the smart distribution network can use various means to achieve efficient operation. Reasonable planning and utilization of distributed power can reduce the scope of fault influence, improve power flow distribution, reduce long-distance energy transmission, and achieve energy saving and emission reduction. Reasonably guiding users to participate in the interaction can improve the operation level of the power grid, reduce the peak-valley difference, and reduce or delay the investment in power grid construction. The output stability and adjustable controllability of distributed power generation are poor, and the higher the penetration rate, the greater the risk of safe and stable operation of the power grid. User interaction is spontaneity and randomness, which makes it difficult to predict the change of load characteristics. Without reasonable guidance, it will affect the safe and stable operation of the power grid. Evaluating the efficiency of smart distribution networks is the theoretical basis for formulating scientific construction plans, making full use of distributed energy, promoting user participation and interaction, and guiding the development of high efficiency. It has theoretical research significance and practical value.
智能配电网的高效性评估是对复杂大系统的综合评估，分布式电源的接入对配电网产生的影响与其电源类型、接入点位置、运行方式和出力大小密切相关，用户参与互动的类型和方式具有多样性，不同类型的用户互动对电网运行高效性的影响不同，分布式电源接入和用户参与互动改变了能量平衡模式，从而改变了智能配电网的调度控制模式，使高效性评估更加复杂。智能配电网高效性评估需要的信息包含配电网的各个方面，来自于不同的计算机系统，需要研究对智能配电网高效性进行评估的数据处理方法。Efficiency evaluation of smart distribution network is a comprehensive evaluation of complex large systems. The impact of distributed power access on distribution network is closely related to its power source type, access point location, operation mode and output size. User participation and interaction The types and methods of different types of user interaction are diverse, and different types of user interaction have different impacts on the efficiency of power grid operation. Distributed power access and user participation and interaction change the energy balance mode, thereby changing the dispatch control mode of the smart distribution network, making Efficiency assessment is more complex. The information needed for evaluating the efficiency of smart distribution network includes all aspects of the distribution network and comes from different computer systems. It is necessary to study the data processing method for evaluating the efficiency of smart distribution network.
发明内容Contents of the invention
技术问题：本发明的目的是提供一种对智能配电网高效性进行评估的数据处理方法，通过采集配电网、分布式电源、电力负荷的基础属性数据和运行数据，并进行数据预处理、数据分析、指标计算和综合，输出表征智能配电网高效性的指标以及影响其高效性的关键环节，从而实现对智能配电网的高效性评估。Technical problem: The purpose of this invention is to provide a data processing method for evaluating the efficiency of smart distribution networks, by collecting basic attribute data and operating data of distribution networks, distributed power sources, and power loads, and performing data preprocessing , data analysis, index calculation and synthesis, and output the indicators representing the efficiency of the smart distribution network and the key links that affect its efficiency, so as to realize the evaluation of the efficiency of the smart distribution network.
技术方案：智能配电网高效性评估通过对智能配电网的属性数据和运行数据进行自动采集和预处理，兼顾实时数据与历史数据、规划与运行等多个阶段进行多项基础分析，形成单项指标计算与综合指标评估相协调的评估模式。Technical solution: Efficiency evaluation of smart distribution network is formed through automatic collection and preprocessing of attribute data and operation data of smart distribution network, taking into account real-time data and historical data, planning and operation, and multiple stages of basic analysis. An evaluation mode that coordinates the calculation of individual indicators and the evaluation of comprehensive indicators.
本发明的智能配电网高效性评估数据处理方法从数据的采集、分析到评估均具有自动化和自适应特性，在无人为干预情况下，自动协调实时数据与历史数据、规划数据与运行数据，包括数据预处理、基础分析、单项指标计算、综合指标评估四步，具体步骤如下：The data processing method of the intelligent distribution network efficiency evaluation of the present invention has the characteristics of automation and self-adaptation from data collection, analysis to evaluation, and can automatically coordinate real-time data and historical data, planning data and operating data without human intervention. It includes four steps: data preprocessing, basic analysis, single index calculation, and comprehensive index evaluation. The specific steps are as follows:
1）数据预处理模块采集评估所需信息，包括电网建设和结构信息、电网运行信息、用户可靠性需求信息、分布式电源容量及运行信息、电磁/噪声监测信息、信息系统数据、配电网业务流程信息、用户互动信息等，然后对数据进行预处理，并将预处理后的数据发送给基础分析模块；1) The data preprocessing module collects the information required for evaluation, including power grid construction and structure information, power grid operation information, user reliability demand information, distributed power supply capacity and operation information, electromagnetic/noise monitoring information, information system data, distribution network Business process information, user interaction information, etc., and then preprocess the data, and send the preprocessed data to the basic analysis module;
2）基础分析模块根据数据预处理模块发送来的数据，进行如下分析：根据可靠性需求类型对用户进行分类，分别统计各类用户在评估时段内的停电次数、停电时间、停运电量和停电损失；以线路为单位分别统计各条线路的容量及分段数；基于拓扑信息依次设置各设备直接相连的开关为断开，计算停电负荷数；以评估区域为单位对评估时段内所有设备的故障次数、检修次数进行累加；以评估区域为单位对所有设备的不停电作业次数、实行状态检修的设备数量进行累加；将评估区域内电网原有资产和年度新增资产进行累加得到电网总资产；根据年度负荷曲线及负荷数据得到最大供电负荷、年供电量；根据网络结构数据和拓扑信息，将配电容量按照供电路径进行累加得到电网的配电容量；根据关口数据统计电量计算差值得到电能损耗；以线路/设备为单位基于负载实际值和额定容量计算负载率；将评估区域内电动汽车充电量、分布式电源发电量、系统备用减少量进行累加得到电能需求变化量；以电磁-噪声监测点为单位按照时间顺序将电磁/噪声监测值进行排序；根据信息系统数据统计评估区域内智能终端数量；统计评估区域内配电终端信息采集情况、双向通信系统覆盖范围；根据各部门业务流程数据统计业务交叉情况；根据各部门信息数量和信息类型统计共享信息数量；根据负荷曲线分析负荷曲线特性，记录负荷峰值、谷值、高峰负荷持续时间；统计参与需求响应的用户数量及响应电量；统计用户定制电力类型、数量及满足程度；并将数据预处理结果发送到单项指标计算模块；2) The basic analysis module performs the following analysis based on the data sent by the data preprocessing module: Classify users according to the types of reliability requirements, and count the number of power outages, power outage time, power outages and power outages of various users during the evaluation period Loss; calculate the capacity and number of segments of each line in units of lines; set the switches directly connected to each device to off in order based on topology information, and calculate the number of outage loads; use the evaluation area as a unit to calculate the Accumulate the number of failures and maintenance times; accumulate the number of non-stop operations of all equipment and the number of equipment subject to condition-based maintenance based on the evaluation area; accumulate the original assets and annual new assets of the power grid in the evaluation area to obtain the total assets of the power grid ; According to the annual load curve and load data, the maximum power supply load and annual power supply are obtained; according to the network structure data and topology information, the power distribution capacity is accumulated according to the power supply path to obtain the power distribution capacity of the power grid; Power loss; calculate the load rate based on the actual load value and rated capacity in units of lines/equipment; accumulate the electric vehicle charging capacity, distributed power generation capacity, and system backup reduction in the evaluation area to obtain the change in power demand; use electromagnetic- The noise monitoring points are used to sort the electromagnetic/noise monitoring values in chronological order; the number of intelligent terminals in the area is statistically evaluated according to the information system data; the information collection of power distribution terminals in the area and the coverage of the two-way communication system are statistically evaluated; Process data counts business intersections; counts the amount of shared information according to the amount and type of information of each department; analyzes the characteristics of the load curve according to the load curve, records the peak load, valley value, and peak load duration; counts the number of users participating in demand response and the response power ;Statistics of user-customized power type, quantity and degree of satisfaction; and send the data preprocessing results to the single index calculation module;
3）单项指标计算模块根据基础分析模块发送来的数据，进行如下计算和分析：根据各类用户的停电次数、停电持续时间、停运电量等数据按照评估指标定义计算得到用户平均停电次数、用户平均停电时间、停电电量占比指标；根据用户停运电量和电价数据按照评估指标定义计算得到停电损失指标；根据线路装接总容量和线路分段数按照评估指标定义计算得到线路分段平均装接容量指标；根据设备直接相连的开关断开情况下的停电负荷数，统计停电负荷为0的设备数与总设备数之比；根据线路-设备检修故障次数按照评估指标定义计算线路可利用率、设备可利用率指标；根据不停电作业次数按照评估指标定义计算得到不停电作业占比指标；根据采用状态检修的设备数量、设备总数量按照评估指标定义计算得到状态检修覆盖率指标；根据电网资产、年供电量、最大供电负荷按照评估指标定义计算得到单位资产供电量、单位资产年最大供电负荷指标；根据最大供电负荷和配电总容量按照评估指标定义得到容载比指标；根据电网运行维护成本按照评估指标定义计算单位资产年运行维护费用指标；根据损耗按照评估指标定义计算综合线损率指标；根据设备/线路负载情况按照评估指标定义计算经济运行偏移度、轻载设备占比指标；根据电动汽车充电量、分布式电源发电量、系统备用减少量、损耗按照评估指标定义计算电能需求变化量及分布式电源发电量占比指标，并据此按照评估指标定义计算煤炭节约量、石油节约量、二氧化碳减排量、二氧化硫减排量、氮氧化物减排量指标；根据电磁/噪声监测点、监测值、监测区域类型数据按照评估指标定义计算电场强度平均偏差、磁场强度平均偏差、噪声强度平均偏差指标；根据智能终端数量、配电终端信息采集情况、双向通信系统覆盖范围按照评估指标定义计算配电终端信息采集率、智能终端覆盖率、双向通信系统覆盖率指标；根据部门业务交叉情况按照评估指标定义计算交叉业务占比指标；根据部门信息共享情况按照评估指标定义计算部门信息共享指标；根据负荷曲线特性按照评估指标定义计算电网峰谷差率、高峰负荷持续时间占比指标；根据需求响应用户数量及电量按照评估指标定义计算需求响应用户占比指标；根据用户定制电力满足程度按照评估指标定义计算电网服务用户满意度指标；将以上计算分析结果发送到综合指标评估模块；3) The single index calculation module performs the following calculation and analysis based on the data sent by the basic analysis module: According to the data such as the number of power outages of various users, the duration of power outages, and the power of outages, the average number of power outages of users, the number of power outages of users, and the The average power outage time and power outage proportion index; the power outage loss index is calculated according to the evaluation index definition according to the user outage power and electricity price data; the average installed capacity of the line segment is calculated according to the evaluation index definition according to the total capacity of the line installation and the number of line segments. Connection capacity index; according to the number of outage loads when the switch directly connected to the equipment is disconnected, calculate the ratio of the number of equipment with a power outage load of 0 to the total number of equipment; calculate the line availability rate according to the number of line-equipment maintenance failures according to the definition of evaluation indicators , Equipment availability index; according to the number of uninterrupted operations and the definition of evaluation indicators, the proportion index of uninterrupted operations is calculated; according to the number of equipment using condition-based maintenance and the total number of equipment, the coverage index of condition-based maintenance is calculated according to the definition of evaluation indicators; according to the power grid Assets, annual power supply, and maximum power supply load are calculated according to the evaluation index definition to obtain the unit asset power supply amount and the unit asset annual maximum power supply load index; according to the maximum power supply load and total distribution capacity, the capacity-load ratio index is obtained according to the evaluation index definition; according to the grid operation The maintenance cost is calculated according to the definition of the evaluation index to calculate the annual operation and maintenance cost index of the unit asset; the comprehensive line loss rate index is calculated according to the definition of the evaluation index according to the loss; the degree of economic operation deviation and the proportion of light-loaded equipment are calculated according to the definition of the evaluation index according to the equipment/line load Indicators: According to the charging amount of electric vehicles, distributed power generation, system backup reduction, and loss, calculate the change in electric energy demand and the proportion of distributed power generation according to the definition of evaluation indicators, and calculate the coal saving according to the definition of evaluation indicators , oil saving, carbon dioxide emission reduction, sulfur dioxide emission reduction, and nitrogen oxide emission reduction indicators; according to the electromagnetic/noise monitoring points, monitoring values, and monitoring area type data, calculate the average deviation of electric field intensity and average magnetic field intensity according to the definition of evaluation indicators Deviation and noise intensity average deviation indicators; according to the number of intelligent terminals, distribution terminal information collection, and two-way communication system coverage, calculate the power distribution terminal information collection rate, intelligent terminal coverage, and two-way communication system coverage indicators according to the definition of evaluation indicators; According to the definition of evaluation index, calculate the proportion index of cross business according to the intersection of departmental business; calculate the departmental information sharing index according to the definition of evaluation index according to the information sharing situation of departments; ratio index; calculate demand response user proportion index according to the definition of evaluation index according to the number of demand response users and electricity; calculate user satisfaction index of power grid service according to the definition of evaluation index according to the degree of user-customized power satisfaction; send the above calculation and analysis results to the comprehensive index evaluation module;
4）综合指标评估模块根据单项指标计算模块发送来的数据，按照评估指标体系的结构采用加权平均的方法计算智能配电网的可靠性、经济性、清洁性、互动性等各项综合指标，然后累加这4个指标值，再进行加权平均得到表征智能配电网高效性的综合评估指标，并按照“低、较低、中、较高、高”五个等级输出智能配电网高效性评估结果。4) The comprehensive index evaluation module uses the weighted average method to calculate the reliability, economy, cleanliness, interactivity and other comprehensive indicators of the smart distribution network according to the data sent by the single index calculation module according to the structure of the evaluation index system. Then accumulate these 4 index values, and then perform weighted average to obtain the comprehensive evaluation index that characterizes the efficiency of smart distribution network, and output the efficiency of smart distribution network according to five levels of "low, low, medium, high, and high". evaluation result.
其中，对数据进行预处理的方法为：校验电压、电流、电量、功率是否超过额定值；校验分布式电源出力是否超过其最大容量；校验电磁/噪声监测值是否与监测点对应；根据电网运行数据和开关状态校核电网拓扑结构；校验智能电表安装数量是否超过用户总量；校验各类可靠性需求用户的总和是否等于用户总量；根据已知数据对采集缺失的数据进行补充，对有误或超过许可范围的数据进行修正。Among them, the method of preprocessing the data is: checking whether the voltage, current, electricity, and power exceed the rated value; checking whether the distributed power output exceeds its maximum capacity; checking whether the electromagnetic/noise monitoring value corresponds to the monitoring point; Check the grid topology according to the grid operation data and switch status; check whether the number of smart meters installed exceeds the total number of users; check whether the sum of users with various reliability requirements is equal to the total number of users; collect missing data based on known data Make supplements and correct data that are incorrect or exceed the permitted range.
有益效果：本方法将高效性评估技术应用到配电网，采用自动协调实时数据与历史数据、规划数据与运行数据的数据处理方法可以得到如下的效果：Beneficial effects: This method applies the high-efficiency evaluation technology to the distribution network, and adopts the data processing method of automatically coordinating real-time data and historical data, planning data and operating data to obtain the following effects:
（1）将智能配电网高效性评估这一复杂问题转化为与高效性评估密切相关的智能配电网数据处理流程，各模块的功能和输出结果简明直观。(1) Transform the complex problem of smart distribution network efficiency evaluation into a smart distribution network data processing process closely related to the efficiency evaluation. The functions and output results of each module are concise and intuitive.
（2）将规划和运行等不同阶段的数据结合起来进行评估，能够正确评估影响智能配电网高效性因素和提供高效性指标的方法，通过该方法进行评估能够提高智能配电网的资金、能源、设备的利用率。(2) Combining the data of different stages such as planning and operation for evaluation can correctly evaluate the factors that affect the efficiency of the smart distribution network and the method of providing high-efficiency indicators. Evaluation through this method can improve the capital and efficiency of the smart distribution network. Utilization of energy and equipment.
附图说明Description of drawings
图1是智能配电网高效性评估的数据处理流程。Figure 1 is the data processing flow for evaluating the efficiency of smart distribution network.
具体实施方式detailed description
智能配电网高效性评估数据处理方案是根据采集的数据进行预处理和基础分析，然后计算各单项指标和高效性综合指标，从而为给出提高智能配电网高效性措施做准备。具体评估过程如下：The smart distribution network efficiency evaluation data processing scheme is based on the collected data for preprocessing and basic analysis, and then calculates the individual indicators and the efficiency comprehensive index, so as to prepare for the measures to improve the efficiency of the smart distribution network. The specific evaluation process is as follows:
1）数据预处理过程：采集评估所需信息，包括电网建设和结构信息、电网运行信息、用户可靠性需求信息、分布式电源容量及运行信息、电磁/噪声监测信息、信息系统数据、配电网业务流程信息、用户互动信息等，如南京新街口中心地区共有10kV中压配电线路75条，线路总长度145.48km，其中电缆长度131.76km，架空线路长度为13.72km，线路绝缘化率达100%；中压配电线路环网率达97.33%等。然后对数据进行预处理，并将预处理后的数据发送给基础分析模块；1) Data preprocessing process: collect and evaluate information required, including power grid construction and structure information, power grid operation information, user reliability demand information, distributed power capacity and operation information, electromagnetic/noise monitoring information, information system data, power distribution Network business process information, user interaction information, etc. For example, there are 75 10kV medium-voltage distribution lines in the central area of Xinjiekou, Nanjing, with a total length of 145.48km, including 131.76km of cables and 13.72km of overhead lines. up to 100%; the ring network rate of medium voltage distribution lines reaches 97.33%. Then preprocess the data and send the preprocessed data to the basic analysis module;
2）基础分析过程：根据用户的可靠性需求类型统计各类用户的停电次数、各类用户的停电时间、各类用户的停运电量、各类用户的停电损失；统计各条线路的容量及分段数；计算设备直接相连的开关为断开时的停电负荷数；以设备为单位统计评估时间段内的故障/检修情况；以评估区域为单位统计该区域内所有设备的不停电作业次数、状态检修设备数量；统计评估区域电网总资产、最大供电负荷、年供电量、配电容量；根据关口数据统计电量计算差值得到电能损耗；根据线路/设备负载情况及额定值计算负载率；根据评估区域内电动汽车充电量、分布式电源发电量、系统备用减少量计算电能需求变化量；按照电磁/噪声监测点以时间顺序统计电磁/噪声监测值；统计评估区域内智能终端数量；统计评估区域内配电终端信息采集情况、双向通信系统覆盖范围；根据各部门业务流程统计业务交叉情况；根据各部门信息数量和信息类型统计信息共享情况；根据负荷曲线分析负荷曲线特性，记录负荷峰值、谷值、高峰负荷持续时间；统计参与需求响应的用户数量及响应电量；统计用户定制电力类型、数量及满足程度；如新增室内变压器130台，新增变电容量307.8MWA，线损率5.7%，不停电作业次数230次，停电次数为1.1次，其中预安排停电0.4次，故障停电0.7次，设备总数量5149，实行状态检修的设备数量1029等，并将数据预处理结果发送到单项指标计算模块；2) Basic analysis process: According to the types of user reliability needs, count the number of power outages of various users, the time of power outages of various users, the power of outages of various users, and the loss of power outages of various users; count the capacity of each line and Number of segments; calculate the number of outage loads when the switch directly connected to the equipment is disconnected; count the failure/overhaul situation within the evaluation period in units of equipment; count the number of non-power-off operations of all equipment in the area in units of evaluation , the number of condition-based maintenance equipment; statistics and evaluation of the total assets, maximum power supply load, annual power supply, and power distribution capacity of the regional power grid; calculate the difference in power consumption based on the gateway data to obtain power loss; calculate the load rate based on the line/equipment load and rated value; Calculate the change in power demand based on the charging amount of electric vehicles, distributed power generation, and system backup reduction in the evaluation area; count the electromagnetic/noise monitoring values in time order according to the electromagnetic/noise monitoring points; count the number of intelligent terminals in the evaluation area; count Evaluate the information collection of power distribution terminals in the area and the coverage of the two-way communication system; count the business crossover situation according to the business process of each department; count the information sharing situation according to the amount and type of information of each department; analyze the characteristics of the load curve according to the load curve, and record the peak load , valley value, and peak load duration; statistics of the number of users participating in demand response and response power; statistics of user-customized power types, quantities, and satisfaction levels; such as adding 130 indoor transformers, adding 307.8 MWA of new transformer capacity, and line loss rate 5.7%, the number of non-stop operations is 230, the number of power outages is 1.1, of which pre-arranged power outages are 0.4 times, fault power outages are 0.7 times, the total number of equipment is 5149, and the number of equipment for condition-based maintenance is 1029, etc. Single indicator calculation module;
3）单项指标计算过程：根据各类用户的停电次数、停电持续时间、停运电量数据计算得到用户平均停电次数、用户平均停电时间、停电电量占比指标；根据用户停运电量和电价数据计算得到停电损失指标；根据线路装接总容量和线路分段数计算得到线路分段平均装接容量指标；根据设备直接相连的开关断开情况下的停电负荷数，统计停电负荷为0的设备数与总设备数之比指标；根据线路/设备检修故障次数计算线路可利用率、设备可利用率指标；根据不停电作业次数计算得到不停电作业占比指标；根据采用状态检修的设备数量计算得到状态检修覆盖率指标；根据电网资产、年供电量、最大供电负荷计算得到单位资产供电量、单位资产年最大供电负荷指标；根据最大供电负荷和配电总容量得到容载比指标；根据电网运行维护成本计算单位资产年运行维护费用指标；根据损耗计算综合线损率指标；根据设备/线路负载情况计算经济运行偏移度、轻载设备占比指标；根据电动汽车充电量、分布式电源发电量、系统备用减少量、损耗计算电能需求变化量、分布式电源发电量占比指标，并据此计算煤炭节约量、石油节约量、二氧化碳减排量、二氧化硫减排量、氮氧化物减排量指标；根据电磁/噪声监测点、监测值、监测区域类型数据计算电场强度平均偏差、磁场强度平均偏差、噪声强度平均偏差指标；根据智能终端数量、配电终端信息采集情况、双向通信系统覆盖范围计算配电终端信息采集率、智能终端覆盖率、双向通信系统覆盖率指标；根据部门业务交叉情况计算交叉业务占比指标；根据部门信息共享情况计算部门信息共享指标；根据负荷曲线特性计算电网峰谷差率、高峰负荷持续时间占比指标；根据需求响应用户数量及电量计算需求响应用户占比指标；根据用户定制电力满足程度计算电网服务用户满意度指标；如得到的评估指标值为，用户平均停电次数指标为0.1，用户平均停电时间指标为0.8，停电电量占比为0.1，线路分段平均装接容量指标为9，设备直接相连的开关断开情况下停电负荷为0的设备数与总设备数之比指标为100%，线路可利用率指标为99%，设备可利用率指标值为98%，并将计算分析结果发送到综合指标评估模块；3) Calculation process of individual indicators: According to the number of power outages of various users, the duration of power outages, and the data of power outages, the average number of power outages of users, the average time of power outages of users, and the proportion of power outages are calculated; calculated based on the data of power outages and electricity prices of users Obtain the power failure loss index; calculate the average installation capacity index of the line segment according to the total capacity of the line installation and the number of line segments; calculate the number of equipment with a power failure load of 0 according to the number of power failure loads when the switch directly connected to the equipment is disconnected The ratio index to the total number of equipment; calculate the line availability and equipment availability indicators based on the number of line/equipment maintenance failures; calculate the proportion of non-stop operations based on the number of non-stop operations; calculate based on the number of equipment using condition-based maintenance Condition-based maintenance coverage index; calculate the unit asset power supply and unit asset annual maximum power supply load indicators based on power grid assets, annual power supply, and maximum power supply load; obtain capacity-load ratio indicators based on the maximum power supply load and total distribution capacity; according to grid operation Maintenance cost calculation unit asset annual operation and maintenance cost index; calculation of comprehensive line loss rate index according to loss; calculation of economic operation deviation and light-load equipment proportion index according to equipment/line load conditions; according to electric vehicle charging capacity, distributed power generation amount, reduction in system backup, loss calculation, change in power demand, proportion of distributed power generation, and based on this, calculate coal savings, oil savings, carbon dioxide emission reductions, sulfur dioxide emission reductions, and nitrogen oxide emission reductions Quantity indicators; Calculate the average deviation of electric field intensity, average deviation of magnetic field intensity, and average deviation of noise intensity based on electromagnetic/noise monitoring points, monitoring values, and monitoring area type data; Calculate the distribution terminal information collection rate, intelligent terminal coverage, and two-way communication system coverage indicators; calculate the cross-business proportion indicators according to the departmental business crossing situation; calculate departmental information sharing indicators according to the departmental information sharing situation; calculate the power grid according to the load curve characteristics Peak-to-valley difference rate, peak load duration ratio index; calculate demand response user ratio index based on demand response user number and power consumption; calculate power grid service user satisfaction index according to user-customized power satisfaction degree; if the obtained evaluation index value is, The average number of power outages for users is 0.1, the average power outage time for users is 0.8, the proportion of power outages is 0.1, the average installation capacity index for line segments is 9, and the number of devices with a power outage load of 0 when the switch directly connected to the equipment is disconnected The ratio index to the total number of equipment is 100%, the line availability index is 99%, the equipment availability index value is 98%, and the calculation and analysis results are sent to the comprehensive index evaluation module;
4）综合指标评估模块根据单项指标计算模块发送来的数据，计算智能配电网的可靠性、经济性、清洁性、互动性指标，然后累加这4个指标值，得到表征智能配电网高效性的综合评估指标，并按照“低、较低、中、较高、高”五个等级输出智能配电网高效性评估结果。比如可靠性指标的评估结果如下：由用户平均停电次数0.1，用户平均停电时间0.8，停电电量占比0.1，线路分段平均装接容量9，假想故障不停电设备占比100%，线路可利用率99%，设备可利用率98%，不停电作业占比20%，状态检修覆盖率30%，计算得可靠性指标为4.2704。另外，如果经济性指标为3.9106，清洁性指标为1.2787，互动性指标为2.5014，则高效性指标为4.3535，即高效性评估结果为“高”。4) The comprehensive index evaluation module calculates the reliability, economy, cleanliness, and interaction indicators of the smart distribution network based on the data sent by the single index calculation module, and then accumulates these four index values to obtain the high efficiency of the smart distribution network. According to the comprehensive evaluation index, the efficiency evaluation results of smart distribution network are output according to the five levels of "low, low, medium, high and high". For example, the evaluation results of the reliability index are as follows: the average number of power outages for users is 0.1, the average power outage time for users is 0.8, the proportion of power outages is 0.1, the average installation capacity of line segments is 9, the proportion of hypothetical failure non-stop equipment is 100%, and the lines are available The rate is 99%, the equipment availability rate is 98%, the non-stop operation accounts for 20%, and the condition-based maintenance coverage rate is 30%. The calculated reliability index is 4.2704. In addition, if the economic index is 3.9106, the cleanliness index is 1.2787, and the interactive index is 2.5014, then the efficiency index is 4.3535, that is, the efficiency evaluation result is "high".
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