Fault section estimation in electric power systems using an optimization immune algorithm

被引：20

作者：

Leao, Fabio Bertequini ^{[1
]}

Pereira, Rodrigo A. F. ^{[1
]}

Mantovani, Jose R. S. ^{[1
]}

机构：

[1] Sao Paulo State Univ, Engn Coll Ilha Solteira, Dept Elect Engn, Res Grp Elect Power Syst Planning,UNESP, BR-15385000 Ilha Solteira, SP, Brazil

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2010年 / 80卷 / 11期

基金：

巴西圣保罗研究基金会;

关键词：

Fault section estimation; Immune algorithm; Power system protection; Protective relaying; EXPERT-SYSTEM; DIAGNOSIS;

D O I：

10.1016/j.epsr.2010.05.010

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 proposes a methodology based on the unconstrained binary programming (UBP) model and an optimization immune algorithm (IA) to estimate fault sections in electric power systems. The UBP model is formulated using the parsimonious set covering theory for associating the alarms of the protective relay functions informed by the SCADA (supervisory control and data acquisition) system and the expected states of the protective relay functions. The IA is developed to minimize the UBP model and to estimate the fault sections as quickly and reliably as possible. The proposed methodology is tested using part of the South-Brazilian electric power system. The control parameters of the IA are set to reach the maximum computational efficiency and reduction of the processing time. The results show the methodology's potential to estimate fault sections in electric power system control centers in real-time. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1341 / 1352

页数：12

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