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Genetic algorithm‐based method for contingency screening in power systems
Author(s) -
Saitoh Hiroumi,
Takano Yutaka,
Toyoda Junichi
Publication year - 1996
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391160209
Subject(s) - genetic algorithm , contingency , computer science , electric power system , probabilistic logic , fitness function , reliability engineering , algorithm , combinatorial optimization , mathematical optimization , power (physics) , engineering , mathematics , machine learning , artificial intelligence , philosophy , linguistics , physics , quantum mechanics
This paper proposes an application of genetic algorithm (GA) to contingency screening in power systems. The contingency selected by the GA‐based screening method is the double line outage which has the risk of causing transient instability. Generally, the contingency screening problem including multiple outage can be interpreted as the combinatorial optimization one for searching the combination of single outages which makes the system insecure. Therefore, GA which is one of the probabilistic searches for combinatorial problems, is applicable for such contingency screening problems. In the GA‐based contingency screening method, a double line outage is represented as a chromosome. The fitness of the chromosome for environment is defined by using the transient energy function of power systems. The new procedure for avoiding the loss of important outage during contingency screening is developed and embedded in the proposed method by using the theorem of schema for GA. The validity of the proposed method is confirmed by applying it to a 6‐machine 30‐bus 40‐line system. The result shows that the GA‐based contingency screening has the potential for practical use.