基于大数据挖掘的农村电网“低电压”问题研究  

Research on Low Voltage of Rural Power Grid Based on Big Data Mining

作　　者：王斐 肖盛[2] 马潇霄 

机构地区：[1]国网陕西省电力公司咸阳供电公司,陕西咸阳712000 [2]国网江西省电力公司,江西南昌330077

出　　处：《电网与清洁能源》2016年第10期73-78,共6页Power System and Clean Energy

基　　金：国家自然科学基金(51437003)~~

摘　　要：通过对农村电网"低电压"明细数据的收集、清洗及处理,分析"低电压"现状、特点及形成原因,从管理和技术2个层面针对原因提出改进措施。措施在农网管理中的应用,将大大改善农村电网长期存在的"低电压"问题,提高农村电网的供电质量,促进农村电网持续、健康、有序发展。Through collecting, cleaning and processing the detail data of the low voltage issue of rural power grid, this paper analyzes the current situation, characteristics and causes of the issue, and then raises some appropriate improvement measures in the aspect of both technology and management. The application of the improvement measures will substantially ease the low voltage problem of rural power grid, which has existed for a long time, and improve the quality of rural power supply and promote healthy, sustainable and orderly development of rural power grid.

关 键 词：大数据 低电压 农村电网 

分 类 号：TM727.1[电气工程—电力系统及自动化]