KFUPM ePrints

Environmental/economic power dispatch using multiobjective evolutionary algorithms

Abido, M.A. (2003) Environmental/economic power dispatch using multiobjective evolutionary algorithms. Power Systems, IEEE Transactions on, 18.

[img]
Preview
PDF
19Kb
[img]Microsoft Word
26Kb

Abstract

This paper presents a new multiobjective evolutionary algorithm for environmental/economic power dispatch (EED) problem. The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the EED as a true multiobjective optimization problem with competing and noncommensurable objectives. The proposed approach employs a diversity-preserving mechanism to overcome the premature convergence and search bias problems. A hierarchical clustering algorithm is also imposed to provide the decision maker with a representative and manageable Pareto-optimal set. Moreover, fuzzy set theory is employed to extract the best compromise nondominated solution. Several optimization runs of the proposed approach have been carried out on a standard test system. The results demonstrate the capabilities of the proposed approach to generate well-distributed Pareto-optimal solutions of the multiobjective EED problem in one single run. The comparison with the classical techniques demonstrates the superiority of the proposed approach and confirms its potential to solve the multiobjective EED problem. In addition, the extension of the proposed approach to include more objectives is a straightforward process.



Item Type:Article
Date:November 2003
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Abido, M.A.
ID Code:14172
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:25
Last Modified:12 Apr 2011 13:14

Repository Staff Only: item control page