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Reactive power control based on particle swarm multi-objective optimization

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2 Author(s)
Vlachogiannis, J.G. ; Ind. & Energy Informatics Lab., R.S. Lianokladiou, Lamia ; Lee, K.Y.

In this study the state-of-the-art extended particle swarm optimization (PSO) methods for solving multi-objective problems are represented. We emphasize in those, which use the co-evolution technique of the parallel vector evaluated PSO (VEPSO), analyzed and applied in a multi-objective problem of power systems. Specifically, reactive power control is formulated as a multi-objective optimization problem and calculated using parallel VEPSO algorithm. The results are compared with those given by another multiobjective evolutionary technique demonstrating the superiority of parallel VEPSO

Published in:

Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on

Date of Conference:

6-10 Nov. 2005