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A multi-objective optimal power flow using particle swarm optimization

✍ Scribed by J. Hazra; A. K. Sinha

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
301 KB
Volume
21
Category
Article
ISSN
1430-144X

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✦ Synopsis

This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and non-convex optimization problem. A diversity preserving technique is incorporated to generate evenly distributed Pareto optimal solutions. A fuzzy membership function is proposed to choose a compromise solution from the set of Pareto optimal solutions. The algorithm is tested on IEEE 30 and 118 bus systems and its effectiveness is illustrated.

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