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ID 14825
Eprint ID
14825
FullText URL
Author
Mehdi Eghbal
Yorino Naoto
Zoka Yoshifumi
Abstract
This paper presents a new approach to treat reactive power (VAr) planning problem using multi-objective evolutionary algorithms. Specifically, Strength Pareto Evolutionary Algorithm (SPEA) and Multi-Objective Particle Swarm Optimization (MOPSO) approaches have been developed and successfully applied. The overall problem is formulated as a nonlinear constrained multi-objective optimization problem. Minimizing the total incurred cost and maximizing the amount of Available Transfer Capability (ATC) are defined as the main objective functions. The proposed approaches have been successfully tested on IEEE 14 bus system. As a result a wide set of optimal solutions known as Pareto set is obtained and encouraging results show the superiority of the proposed approaches and confirm their potential to solve such a large scale multi-objective optimization problem.
Published Date
2008-12-11
Publication Title
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
Volume
volume2008
Issue
issue1
Publisher
IEEE SMC Hiroshima Chapter
Start Page
165
End Page
170
ISSN
1883-3977
Content Type
Conference Paper
language
英語
Event Title
Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
Event Location
東広島市
Event Location Alternative
Higashi-Hiroshima City
File Version
publisher
Refereed
True
Eprints Journal Name
IWCIA