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

Ahmed M A Haidar, Azah Mohamed, Federico Milano

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)533-546
Number of pages14
JournalSimulation Modelling Practice and Theory
Volume18
Issue number5
DOIs
Publication statusPublished - May 2010

Fingerprint

Computational Intelligence
Vulnerability
Power System
Artificial intelligence
Optimal Power Flow
Electric Power System
Electric power systems
Power Flow
Software packages
Power Analysis
Fuzzy logic
Systems Analysis
Software Tools
Software Package
Open Source
Education
Systems analysis
Fuzzy Logic
MATLAB
Artificial Neural Network

Keywords

  • Artificial neural networks
  • Computational intelligence
  • Contingency analysis
  • Control
  • Fuzzy logic
  • Vulnerability assessment

ASJC Scopus subject areas

  • Hardware and Architecture
  • Software
  • Modelling and Simulation

Cite this

A computational intelligence-based suite for vulnerability assessment of electrical power systems. / Haidar, Ahmed M A; Mohamed, Azah; Milano, Federico.

In: Simulation Modelling Practice and Theory, Vol. 18, No. 5, 05.2010, p. 533-546.

Research output: Contribution to journalArticle

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