基于大数据的台区重复停电监测分析

Monitoring and Analyzing of Transformer Districts with Frequent Power Outage Based on Big Data

随着用户对供电可靠性的要求越来越高,减少台区重复停电已经成了供电企业工作的重中之重,亟需创新改进台区重复停电问题的管理方式、方法。针对某地市公司尚未建立有效的台区停电统计、分析方法,无法量化评价不同地域台区重复停电问题的严重程度,台区重复停电宏观掌控能力亟待提升等问题,文章创新利用大数据分析方法,确立台区重复停电问题分析处理思路,在海量明细数据基础上探索出台区停电问题的监测分析,并选取实例进行成效检验,为地市供电公司台区重复停电工作提供有力支撑。

With the reliability of the user.s power supply requirements are getting higher and higher, reducing the frequent power outages has become the top priority of power supply enterprises. It is urgent to innovate and improve management mode and method for transformer districts with frequent power outage. In view of the fact that a certain city company has not yet established an effective power outage statistics and analysis methods, it cannot quantitatively evaluate the seriousness of frequent power outages in different geographical areas, and the urgent need to raise the macro control capability, a big data analysis method is innovated and the thinking of analysis and processing way is established. Based on the detailed data, this paper explores the monitoring and analysis of the blackout problem, and chooses the example to carry on the effectiveness examination, provides the strong support for the city power supply company to deal with the frequent power outages.