A Solution to Multi-Objective Optimal Power Flow Using Hybrid Cultural-Based Bees Algorithm

This paper presents a hybrid Cultural-based Bees Colony Algorithm for solving a multi-objective Optimal Power Flow (OPF). The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-b...

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Bibliographic Details
Published in2012 Asia-Pacific Power and Energy Engineering Conference pp. 1 - 4
Main Authors Sumpavakup, C., Srikun, I., Chusanapiputt, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Cultural differences
Generators
Load flow
Minimization
Optimization
Simulation
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ISBN9781457705458
1457705451
ISSN2157-4839
DOI10.1109/APPEEC.2012.6307536

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Summary:This paper presents a hybrid Cultural-based Bees Colony Algorithm for solving a multi-objective Optimal Power Flow (OPF). The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Cultural-based Bee Colony are more effective than other swarm intelligence methods in the literature.
ISBN:9781457705458
1457705451
ISSN:2157-4839
DOI:10.1109/APPEEC.2012.6307536