Volume 4 Number 6 (Jun. 2009)
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JCP 2009 Vol.4(6): 535-541 ISSN: 1796-203X
doi: 10.4304/jcp.4.6.535-541

Comparative Study on the Application of Modern Heuristic Techniques to SVC Placement Problem

Mehdi Eghbal, Naoto Yorino, Yoshifumi Zoka
Graduate School of Engineering, Hiroshima University, Higashihiroshima, Japan
Abstract—This paper investigates the applicability and effectiveness of modern heuristic techniques for solving SVC placement problem. Specifically, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Evolutionary PSO (EPSO) have been developed and successfully applied to find the optimal placement of SVC devices. The main objective of the proposed problem is to find the optimal number and sizes of the SVC devices to be installed in order to enhance the load margin when contingencies happen. SVC installation cost and load margin deviation are subject to be minimized. The proposed approaches have been successfully tested on IEEE 14 and 57 buses systems and a comparative study is illustrated. To evaluate the capability of the proposed techniques to solve large scale problems, they are also applied to a large scale mixed-integer nonlinear reactive power planning problem. Results of the application to IEEE 14 bus test system prove the feasibility of the proposed approaches and outperformance of PSO based techniques over GA.

Index Terms—FACTS devices, SVC, Modern heuristic techniques, Evolutionary Programming, Genetic Algorithm, Particle Swarm Optimization, Evolutionary PSO.

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Cite: Mehdi Eghbal, Naoto Yorino, Yoshifumi Zoka, "Comparative Study on the Application of Modern Heuristic Techniques to SVC Placement Problem," Journal of Computers vol. 4, no. 6, pp. 535-541, 2009.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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