摘要
大数据技术的应用可以极大优化配电网的中压供电可靠性管理。对大数据概念及大数据技术在电力领域中的分析方法进行介绍。研发了一种基于大数据的中压供电可靠性管理系统,该系统可实现如下功能:得到某地区城网、农网的供电可靠率;分析该地区的重复停电情况(包括线路重复停电、台区重复停电);分析对计划停电情况;提供配抢效率分析、停电损失估计等优质服务。该系统分析结果可供工作人员参考,提高中压供电可靠性。
The application of big data technology can greatly optimize the reliability management for medium voltage power supply of distribution network. The concept of big data and the analysis methods of big data technology in the field of electric power are introduced. A reliability management system for medium voltage power supply based on big data is developed ： it can get the information of power supply reliability for urban power grid and rural power grid. It can analyze the repeated blackouts rate in one area （ including repeated blackouts on lines and repeated blackouts of transformer districts ） and the planned blackouts, and can provide the quality services such as fault repair efficiency analysis for distribution network and power outage loss estimation. The analysis results of the proposed system can provide a reference for the staff to improve the reliability of medium voltage power supply.
出处
《四川电力技术》
2018年第1期83-88,共6页
Sichuan Electric Power Technology
关键词
大数据
中压供电可靠性管理系统
重复停电
优质服务
big data
reliability management system for medium voltage power supply
repeated blackouts
quality service
作者简介
陈善兵（1969），硕士研究生、高级工程师，主要研究方向为电力工程技术;赵静（1981），研究生、高级工程师，主要研究方向为可靠性管理及质量监督。
