基于AHP-TOPSIS算法的重要电力客户用电状态评估  

Power Consumption State Evaluation of Important Power Customers Based on AHP-TOPSIS Algorithm

作　　者：付志扬 王涛[1] 孔令号 马浩 徐湘楚 FU Zhiyang;WANG Tao;KONG Linghao;MA Hao;XU Xiangchu(School of Mathematics and Physics,North China Electric Power University,Baoding 071000,Hebei Province,China;State Grid Baoding Electric Power Supply Company,Baoding 071000,Hebei Province,China;Marketing Service Center,State Grid Hebei Electric Power Company,Shijiazhuang 050021,Hebei Province,China;School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071000,Hebei Province,China)

机构地区：[1]华北电力大学数理学院,河北省保定市071000 [2]国网保定供电公司,河北省保定市071000 [3]国网河北省电力有限公司营销服务中心,河北省石家庄市050021 [4]华北电力大学电气与电子工程学院,河北省保定市071000

出　　处：《电网技术》2022年第10期4095-4101,共7页Power System Technology

基　　金：国家重点研发计划项目–政府间国际科技创新合作重点专项(2018YFE0122200)。

摘　　要：在新型电力系统构建过程中,电力客户用电状态识别与评估将成为其参与需求响应、虚拟电厂等新兴业务的重要基础。以保障重要电力客户安全用电为出发点,挖掘应用电力大数据,提出了一种基于层次分析法(analytic hierarchy process,AHP)-优劣解距离法(technique for order preference by similarity to an ideal solution,TOPSIS)的重要电力客户用电状态评估方法。首先搭建了基于Hadoop架构的用电大数据分析平台,为大数据分析提供高性能平台支撑。然后从电压、负荷和综合三类维度构建了9项评估指标,用以描述重要电力客户的用电状态。最后采用AHP-TOPSIS算法分别对电压类、负荷类、综合类指标进行分项评估分析,得出了三类指标各自的用电状态评估值,再通过变权重加权求和的方式确定重要电力客户的用电状态评分。经过算例分析和现场验证,证明了模型和算法的合理性、可行性,该方法有助于促进客户故障事后抢修向事前预警转变,具有保障安全用电、支撑精准巡视、服务主动抢修的多重功效。In the construction of a new power system,the identification and evaluation of power consumption status of power customers will become an important basis for them to participate in the emerging businesses such as demand response and virtual power plants.In order to ensure the power safety of important power customers,a new evaluation of power consumption status of important power customers based on the AHP(Analytic Hierarchy Process)-TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution)algorithm is proposed by fully mining and applying the power big data.Firstly,a power consumption big data analysis platform based on the Hadoop architecture is built to provide a high-performance platform support for big data analysis.Secondly,nine evaluation indexes are constructed from the three dimensions of voltage,load and synthesis,which objectively and scientifically describes the power consumption status of important power customers.Finally,the AHP-TOPSIS algorithm is used to evaluate and analyze the voltage,load and comprehensive indicators respectively,thus,obtaining the evaluation values of three kinds of indicators.The power consumption status scores of important power customers are determined by the variable weight weighted summation.The rationality and feasibility of the method and algorithm are proved by example analysis and field verification.This method helps to promote the transformation from post fault emergency repair to warning beforehand.It has the multiple effects of ensuring safe power consumption,supporting accurate patrolling and active emergency repair serving.

关 键 词：重要电力客户 用电状态 HADOOP 大数据 层次分析法 优劣解距离法 

分 类 号：TM721[电气工程—电力系统及自动化]