A computational intelligence-based suite for vulnerability assessment of electrical power systems

被引：12

作者：

Haidar, Ahmed M. A. ^{[3
]}

Mohamed, Azah ^{[2
]}

Milano, Federico ^{[1
]}

机构：

[1] Univ Castilla La Mancha, E-13071 Ciudad Real, Spain

[2] Univ Kebangsaan Malaysia, Bangi, Malaysia

[3] Univ Malaysia Pahang, Pahang, Malaysia

来源：

SIMULATION MODELLING PRACTICE AND THEORY | 2010年 / 18卷 / 05期

关键词：

Contingency analysis; Vulnerability assessment; Control; Computational intelligence; Artificial neural networks; Fuzzy logic; FUNCTION NEURAL-NETWORK; SECURITY; TOOLBOX; EDUCATION; SELECTION;

D O I：

10.1016/j.simpat.2009.12.009

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper discusses the feasibility of implementing computational intelligence algorithms for power system analysis in an open source environment. The scope is specially oriented to education, training and research. In particular, the paper describes a software package, namely Computational Intelligence Applications to Power System (CIAPS), that implements a variety of heuristic techniques for vulnerability assessment of electrical power systems. CIAPS is based on Matlab and suited for analysis and simulation of small to large size electric power systems. CIAPS is used for solving power flow, optimal power flow, contingency analysis based on artificial neural networks and fuzzy logic techniques. A variety of illustrative examples are given to show the features of the developed software tool. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：533 / 546

页数：14

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