A Recursive Bayesian Approach for Identification of Network Configuration Changes in Distribution System State Estimation

被引：88

作者：

Singh, Ravindra ^{[1
]}

Manitsas, Efthymios ^{[1
]}

Pal, Bikash C. ^{[1
]}

Strbac, Goran ^{[1
]}

机构：

[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London, England

来源：

IEEE TRANSACTIONS ON POWER SYSTEMS | 2010年 / 25卷 / 03期

基金：

英国工程与自然科学研究理事会;

关键词：

Distribution system state estimation; model bank; recursive Bayesian probability; TOPOLOGY ERRORS; POWER-SYSTEMS;

D O I：

10.1109/TPWRS.2010.2040294

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the identification of network configuration changes in distribution system state estimation (DSSE). The models of critical network configurations are stored in the form of a model bank. A recursive Bayesian approach which utilizes the output of the state estimation function of each model in the bank is used to identify the correct configuration of the network. The concept is demonstrated on a part of the U.K. Generic Distribution System (UKGDS) model.

引用

页码：1329 / 1336

页数：8

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