A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem

M. A. Abido, J. M. Bakhashwain

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

34 Scopus citations

Abstract

In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. A new Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed to handle the problem as a tRue multiobjective optimization problem with competing and non-commensurable objectives. A hierarchical clustering algorithm is imposed to provide the decision maker with a representative and manageable Pareto-optimal set. The results demonstrate the capabilities of the proposed approach to generate tRue and well-distributed Pareto-optimal nondominated solutions in one single run. The results also show the superiority of the proposed approach and confirm its potential to solve the multiobjective VAR dispatch problem.

Original languageEnglish
Title of host publicationICECS 2003 - Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems
Pages1054-1057
Number of pages4
DOIs
StatePublished - 2003

Publication series

NameProceedings of the IEEE International Conference on Electronics, Circuits, and Systems
Volume3

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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