A Novel Hybrid Optimization Algorithm Based on Multi-Agent and Particle Swarm

Abstract:

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A novel multi-agent particle swarm optimization algorithm (MAI'SO) is proposed for optimal reactive power dispatch and voltage control of power system. The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MAI.SO represents a particle to PSO and a candidate solution to the optimization problem. All agents live in a lattice-like environment, with each agent fixed on a lattice-point. In order to decrease fitness value, quickly, agents compete and cooperate with their neighbors. and they can also use knowledge. Making use of these agent interactions and evolution mechanism of I.SO. MAPSO realizes the purpose of' minimizing the value of' objective function. MAPSO applied for optimal reactive power is evaluated on an IEEE 30-bus power system. It is shown that the proposed approach converges to better solutions much faster than the earlier reported approaches

Info:

Periodical:

Key Engineering Materials (Volumes 460-461)

Edited by:

Yanwen Wu

Pages:

512-517

DOI:

10.4028/www.scientific.net/KEM.460-461.512

Citation:

D. J. Shi et al., "A Novel Hybrid Optimization Algorithm Based on Multi-Agent and Particle Swarm", Key Engineering Materials, Vols. 460-461, pp. 512-517, 2011

Online since:

January 2011

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Price:

$35.00

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