Improved artificial bee colony algorithm considering harvest season for computing economic dispatch on power system

This paper proposes the harvest season artificial bee colony (HSABC) algorithm, a novel improvement of the artificial bee colony (ABC) algorithm, for computing an economic dispatch solution of a power system based on fuel consumption and the produced emissions. A standard model of the power system,...

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Bibliographic Details
Published in:IEEJ transactions on electrical and electronic engineering 2014-05, Vol.9 (3), p.251-257
Main Authors: Afandi, Arif N., Miyauchi, Hajime
Format: Article
Language:English
Subjects:
Algorithms
bee colony
Computing costs
Convergence
cost
economic
Economics
Electric power generation
emission
Mathematical models
Seasons
Swarm intelligence
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Summary:This paper proposes the harvest season artificial bee colony (HSABC) algorithm, a novel improvement of the artificial bee colony (ABC) algorithm, for computing an economic dispatch solution of a power system based on fuel consumption and the produced emissions. A standard model of the power system, the IEEE‐62 bus system, is used to show the performance of HSABC using equality and inequality constraints to determine the optimal solution for the economic operation of the power system. Simulations involving the proposed algorithm show that HSABC has better ability to determine the minimum values for the operating cost problem with faster convergence and shorter running time when compared to the traditional ABC algorithm. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
ISSN:1931-4973
1931-4981
DOI:10.1002/tee.21963