Contingency ranking for voltage stability using a genetic algorithm

J.W. Nims

doi:10.1016/S0378-7796(97)01162-0

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Contingency ranking for voltage stability using a genetic algorithm

1997-10-01

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J.W. Nims

ElKeib, AA

Robert E. Smith

DOI：10.1016/S0378-7796(97)01162-0

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Abstract

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This paper presents a new contingency ranking approach based on genetic algorithms. It formulates contingency ranking as an optimization problem with the objective of finding all critical cases. The genetic algorithm was selected as the search method because of its ability to find the optimal or near optimal solution while only evaluating a small percent of the problem space. In addition to limiting the number of evaluated contingencies, this approach can encompass other techniques intended to reduce the computational burden of analyzing each contingency. The severity of a particular contingency is measured by the minimum singular value of the power flow Jacobian. Test results showing the effectiveness of the proposed approach on two test systems are included. (C) 1997 Elsevier Science S.A.

Keywords:

genetic algorithm

voltage stability

contingency ranking

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