A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement
International Journal of Energy and Power Engineering
Volume 4, Issue 4, August 2015, Pages: 232-239
Received: Jun. 25, 2015; Accepted: Jul. 1, 2015; Published: Aug. 6, 2015
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Authors
Musa H., Department of Electrical Engineering, Bayero University, Kano, Nigeria
Ibrahim S. B., Department of Electrical Engineering, Bayero University, Kano, Nigeria
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Abstract
Particle Swarm Optimization (PSO) has became one of the most popular optimization methods in the domain of Swarm Intelligence. Many PSO algorithms have been proposed for distributed generations (DGs) deployed into grids for quality power delivery and reliability to consumers. These can only be achieved by placing the DG units at optimal locations. This made DG planning problem solution to be of two steps namely, finding the optimal placement bus in the distribution system as well as optimal sizing of the DG. This paper reviews some of the PSO and hybrids of PSO Algorithms formulated for DG placement being one of the meta-heuristic optimization methods that fits stochastic optimization problems. The review has shown that PSO Algorithms are very efficient in handling the DG placement and sizing problems.
Keywords
Distributed Generation, Power Losses, Optimization, Placement, Sizing, Objective Function, Power flow, Distribution Networks, Multi-objective
To cite this article
Musa H., Ibrahim S. B., A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement, International Journal of Energy and Power Engineering. Vol. 4, No. 4, 2015, pp. 232-239. doi: 10.11648/j.ijepe.20150404.16
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