摘要
目前配电自动化布点不足造成了部分信息缺失和多数据源的现状,为了给配电网高级应用分析与决策提供良好的数据基础,有必要进行配电网状态估计的研究。文章研究了配电网状态估计方法,提出了状态估计前进行坏数据处理的流程和算法,然后再应用基于加权最小二乘法进行状态估计,得出状态估计结果。
Due to the lack of distribution automation deployment,the current situations of partial information gap and multi data sources are caused.In order to offer good data base for the advanced application analysis and decision of distribution network,the state estimation of distribution network is essential.The state estimation method for distribution network is researched in this paper,the process and algorithm of bad data handing before the state estimation are proposed,and then the state estimation is achieved by applying weighted least-square method.
出处
《供用电》
2015年第12期46-49,25,共5页
Distribution & Utilization
关键词
配电网
状态估计
坏数据处理
最小二乘法
power distribution network
state estimation
bad data handing
least square method