摘要
基于大数据和关联分析的配电网过电压监测分析和智能诊断体系,依据配电网运行大数据开展监测分析和辅助决策,发现和识别配电网过电压问题内在规律,从网络、设备、用户以及分布式电源接入等维度提取产生配电网过电压的主要因素,从而形成提升配电网电压质量的辅助决策。
Based on the big data and association analysis of distribution network overvoltage monitoring analysis and intelligent diagnosis system,according to the big data of distribution network operation to carry out monitoring analysis and auxiliary decision-making,this paper finds and identifies the inherent law of distribution network overvoltage problems,and extracts the main factors of distribution network overvoltage from the network,equipment,users and distributed generation access dimensions,so as to form the improvement of distribution network Auxiliary decision-making of network voltage quality.
作者
唐星祝
潘良
TANG Xingzhu;PAN Liang(State Grid Hunan Electric Power Research Institute,Hunan 41007,China;Loudi Power Supply Branch of State Grid Hunan Electric Power Company,Hunan 417000,China)
出处
《电子技术(上海)》
2021年第2期132-133,共2页
Electronic Technology
关键词
大数据
电压质量
过电压
聚类分析
关联分析
智能诊断
big data
voltage quality
overvoltage
cluster analysis
association analysis
intelligent diagnosis