Volume 4 Number 2 (Apr. 2012)
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IJCEE 2012 Vol.4(2): 115-120 ISSN: 1793-8163 DOI: 10.7763/IJCEE.2012.V4.461

Application of Shuffled Frog Leaping Algorithm to Long Term Generation Expansion Planning

M. Jadidoleslam, E. Bijami, N. Amiri, A. Ebrahimi, and J. Askari
Abstract—This paper presents the application of an efficient shuffled frog leaping algorithm (SFLA) to solve the optimal generation expansion planning (GEP) problem. The SFLA is a meta-heuristic search method inspired by natural memetics. It combines the advantages of both genetic-based memetic algorithms and social behavior based algorithm of particle swarm optimization. Least-cost GEP is concerned with a highly constrained non-linear discrete dynamic optimization problem. In this paper the proposed formulation of problem, determines the optimal investment plan for adding power plants over a planning horizon to meet the demand criteria, fuel mix ratio, and the reliability criteria. To test the proposed SFLA method, it is simulated for two test systems in a time horizon of 10 and 20 years respectively. The obtained results show that compared to the traditional methods, the SFLA method can provide better solutions for the GEP problem, especially for a longer time horizon.

Index Terms—Generation expansion planning, probabilistic production simulation, shuffled frog leaping algorithm.

M. Jadidoleslam, E. Bijami, N. Amiri, A. Ebrahimi, and J. Askari are with the Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156, Iran (e-mail: {m.jadidoleslam, e.bijami, n.amiri}@ec.iut.ac.ir, {ebrahimi, j-askari}@cc.iut.ac.ir).

Cite: M. Jadidoleslam, E. Bijami, N. Amiri, A. Ebrahimi, and J. Askari, "Application of Shuffled Frog Leaping Algorithm to Long Term Generation Expansion Planning," International Journal of Computer and Electrical Engineering vol. 4, no. 2, pp. 115-120, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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