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Multiobjective optimal power flow using strength Pareto evolutionary algorithm

Abido, M.A. (2004) Multiobjective optimal power flow using strength Pareto evolutionary algorithm. Universities Power Engineering Conference, 2004. UPEC 2004. 39th International, 1.

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Abstract

In this paper, a novel multiobjective evolutionary algorithm for optimal power flow (OPF) problem is presented. The OPF problem is formulated as a nonlinear constrained multiobjective optimization problem where the fuel cost and the voltage stability index 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 OPF problem.



Item Type:Article
Date:September 2004
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Abido, M.A.
ID Code:14605
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:42
Last Modified:12 Apr 2011 13:16

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