Journal of South China University of Technology(Natural Science Edition) ›› 2012, Vol. 40 ›› Issue (11): 19-28.

• Review & Feature Article • Previous Articles     Next Articles

Analytical Model for Fault Section Estimation and State Identification of Unobserved Protective Relays in Power Systems

Wen Fu-shuan1  Zhang Yong1  Zhang Yan1  Chen Yi-ping2  Zhou Hua-feng2   

  1. 1.School of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang,China; 2.Electricity Dispatching Communication Center of China Southern Power Grid,Guangzhou 510623,Guangdong,China
  • Received:2012-08-01 Online:2012-11-25 Published:2012-10-01
  • Contact: 文福拴(1965-) ，男，教授，博士生导师，主要从事电力系统警报处理、故障诊断与系统恢复; 电力系统投资、规划与运行优化; 电力经济与电力市场; 智能电网与电动汽车研究． E-mail:fushuan.wen@ gmail.com
  • About author:文福拴(1965-) ，男，教授，博士生导师，主要从事电力系统警报处理、故障诊断与系统恢复; 电力系统投资、规划与运行优化; 电力经济与电力市场; 智能电网与电动汽车研究．
  • Supported by:

    国家科技支撑计划资助项目( 2011BAA07B02) ; 南方电网公司科技资助项目( K201029．2，K-ZB2011-012)

PDF

778

Abstract:

In recent years,some models have been proposed for the fault section estimation and state identification of unobserved protective relays ( FSE-SIUPR) under the condition of incomplete state information of protective relays. In these models,the temporal alarm information from a faulted power system is not well explored although it is very helpful in compensating the incomplete state information of protective relays,quickly achieving definite fault diagnosis results and evaluating the operating status of protective relays and circuit breakers in complicated fault scenarios. In order to solve this problem,an integrated optimization mathematical model for the FSE-SIUPR,which takes full advantage of the temporal characteristics of alarm messages,is developed in the framework of the wellestablished temporal constraint network. With this model,the fault evolution procedure can be explained and some states of unobserved protective relays identified. The model is then solved by means of the Tabu search ( TS) and finally verified by test results of fault scenarios in a practical power system.

Key words: power system, fault section estimation, protective state identification, temporal alarm information