New genetic algorithms for contingencies selection in the static security analysis of electric power systems

被引：17

作者：

Canto dos Santos, Jose Vicente ^{[1
]}

Costa, Iverson Farias ^{[1
]}

Nogueira, Thiago ^{[1
]}

机构：

[1] Univ Vale Rio dos Sinos, BR-93022000 Sao Leopoldo, RS, Brazil

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2015年 / 42卷 / 06期

关键词：

Electric power systems; Static security analysis; Contingency Selection; Genetic algorithms; RANKING; NETWORKS; CLASSIFICATION; FLOW;

D O I：

10.1016/j.eswa.2014.11.041

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The importance of a reliable supply of electric power in industrial society is unquestionable. In control centers of electrical utilities, an important task is the security analysis, even for those companies that already have the modern smart grids. In this task, a contingency is the operation outage of one or more devices, while contingencies selection is the determination of the most severe contingencies on the system. Despite the current technological advances, an analysis of all possible contingencies is impracticable. In this paper, a method to efficiently perform the selection of multiple contingencies is presented. The issue is modeled as a combinatorial optimization problem and solved by genetic algorithms, developed for this application. A robust method, which considers power flow and voltage, is presented and tested over IEEE-30 test system and over a large real life system, considering double outages of branches. The results showed accuracy close to 100%, when compared with an exact method. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：2849 / 2856

页数：8

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