IEEE Power Engineering Society Summer Meeting,
DOI: 10.1109/pess.2002.1043455
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Contingency screening for steady state security analysis by using genetic algorithms

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Cited by 7 publications
(1 citation statement)
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“…On-line contingency analysis requires evaluation and ranking of a large number of contingency cases in order to assess the static security of a power system [7]. There are fast methods for contingency ranking techniques using the Jacobian matrix manipulation in the load flow study [8] and other approaches, such as pattern recognition, neural network, genetic algorithm, etc [9]. The proposed algorithm has been tested on IEEE test power systems.…”
Section: Introductionmentioning
confidence: 99%
“…On-line contingency analysis requires evaluation and ranking of a large number of contingency cases in order to assess the static security of a power system [7]. There are fast methods for contingency ranking techniques using the Jacobian matrix manipulation in the load flow study [8] and other approaches, such as pattern recognition, neural network, genetic algorithm, etc [9]. The proposed algorithm has been tested on IEEE test power systems.…”
Section: Introductionmentioning
confidence: 99%