基于用电大数据处理的配网供电可靠性分析方法研究  

Research on reliability analysis method of distribution network power supply based on power big data processing

作　　者：徐常 陈露东 赵筑雨 王珺 XU Chang;CHEN Ludong;ZHAO Zhuyu;WANG Jun(Power Grid Planning and Research Center of Guizhou Power Grid Co.,Ltd.,Guiyang 550000,China;Guizhou Qianchi Information Corp.,Ltd.,Guiyang 550002,China)

机构地区：[1]贵州电网有限责任公司电网规划研究中心,贵州贵阳550000 [2]贵州黔驰信息股份有限公司,贵州贵阳550002

出　　处：《电子设计工程》2024年第16期130-133,138,共5页Electronic Design Engineering

摘　　要：针对现有大多数方法难以准确分析配网可靠性影响因素的问题,文中开展了一种基于用电大数据处理的配网供电可靠性分析方法研究。该研究以大数据平台为基础设计了用电数据处理模型,并通过插值法来完成数据预处理。同时利用熵权法来优化灰色关联分析法,以全面考虑数据的潜在特征。通过将改进灰色关联分析法用于分析供电可靠性指标与各影响因素的关联程度,从而为配网改造优化提供指导意见。基于某供电公司的用电大数据对所提方法进行实验测试,其分析准确率最高且最稳定,均超过了90%。而环网率的关联系数也达到了0.852,影响最大。In view of the problem that most existing methods are difficult to accurately analyze the influencing factors of distribution network reliability,this paper develops a research on distribution network power supply reliability analysis method based on power big data processing.The power data processing model is designed based on the big data platform,and the data preprocessing is completed by interpolation.At the same time,the entropy weight method is used to improve the Grey Relation Analysis method to comprehensively consider the potential characteristics of the data,and the improved Grey Relation Analysis method is used to analyze the correlation degree between the power supply reliability index and various influencing factors,so as to provide guidance for the transformation and optimization of the distribution network.Based on the big data of power consumption of a power supply company,the proposed method is tested experimentally.The analysis accuracy is the highest and most stable,exceeding 90%,and the correlation coefficient of the ring network rate reaches 0.852,which has the greatest impact.

关 键 词：配网供电可靠性 用电大数据 熵权法 改进灰色关联法 数据预处理 环网率 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]