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International Journal of Emerging Electric Power Systems

Editor-in-Chief: Sidhu, Tarlochan

Ed. by Khaparde, S A / Rosolowski, Eugeniusz / Saha, Tapan K / Gao, Fei

CiteScore 2018: 0.86

SCImago Journal Rank (SJR) 2018: 0.220
Source Normalized Impact per Paper (SNIP) 2018: 0.430

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Volume 14, Issue 6


Artificial Immune System for Multi-Area Economic Dispatch

Shankha Suvra De / Abhik Hazra / Mousumi Basu
Published Online: 2013-09-28 | DOI: https://doi.org/10.1515/ijeeps-2013-0087


This article presents artificial immune system for solving multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. Artificial immune system is based on the clonal selection principle which implements adaptive cloning, hyper mutation, aging operator and tournament selection. The effectiveness of the proposed algorithm has been verified on three different test systems, both small and large, involving varying degree of complexity. Compared with differential evolution, evolutionary programming and real-coded genetic algorithm, considering the quality of the solution obtained, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system.

Keywords: multi-area economic dispatch; tie line constraints; artificial immune system


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About the article

Published Online: 2013-09-28

Citation Information: International Journal of Emerging Electric Power Systems, Volume 14, Issue 6, Pages 581–590, ISSN (Online) 1553-779X, ISSN (Print) 2194-5756, DOI: https://doi.org/10.1515/ijeeps-2013-0087.

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