A modified particle swarm Algorithm for distribution systems reconfiguration

This paper introduces the particle swarm optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach. The PSO wa...

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Bibliographic Details
Published in2009 IEEE Power & Energy Society General Meeting pp. 1 - 8
Main Authors Abdelaziz, A.Y., Mekhamer, S.F., Badr, M.A.L., Mohamed, F.M., El-Saadany, E.F.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Costs
Distribution Systems Reconfiguration
Europe
Load flow
Particle swarm optimization
Phase frequency detector
Power generation
Power Loss Reduction
Power markets
Power system interconnection
Power system modeling
Pricing
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Summary:This paper introduces the particle swarm optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach. The PSO was inspired from natural behavior of the bees on how they find the location of most flowers. The proposed PSO algorithm is introduced with some modifications such as using an inertia weight that decreases linearly during the simulation. This setting allows the PSO to explore a large area at the start of the simulation. A modification in the number of iterations and the population size is also presented. To verify the effectiveness of the proposed PSO algorithm, comparative studies are conducted on two test distribution systems. The obtained results are compared with those obtained using other approaches in the previous work to examine the performance.
ISBN:9781424442416
1424442419
ISSN:1932-5517
DOI:10.1109/PES.2009.5275673