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Abstract
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Article Information:
Multi-Objective Solution Based on Various Particle Swarm Optimization Techniques in Power Systems
Assad Abu-Jasser and Husam Shaheen
Corresponding Author: Assad Abu-Jasser
Submitted: 2011 March, 29
Accepted: 2011 June, 02
Published: 2011 June, 25 |
Abstract:
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A proposed optimization technique based on fuzzy logic and particle swarm is presented in this
paper. This technique is referred to as Fuzzy Adaptive Particle Swarm Optimization (FAPSO). In this
technique, the fuzzy logic is employed to adjust the parameters of the particle swarm. The proposed technique
is applied to the IEEE-30-bus-system model along with previous optimization methods to obtain a multiobjective
solution to the voltage control, the voltage deviation, and the real power loss problems in power
systems. The multi-objective problem is subjected to the same constraints for all methods and a comparison
between the results obtained by various methods is presented. It has been demonstrated that the results of the
proposed technique superseded that of all previous optimization technique methods.
Key words: Fuzzy logic, particle swarm optimization, voltage control, voltage deviation, voltage collapse, ,
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Abstract
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Cite this Reference:
Assad Abu-Jasser and Husam Shaheen, . Multi-Objective Solution Based on Various Particle Swarm Optimization Techniques in Power Systems. Research Journal of Applied Sciences, Engineering and Technology, (06): 519-532.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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