A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement

Musa H.; Ibrahim S. B.

doi:doi:10.11648/j.ijepe.20150404.16

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A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement

Musa H., Ibrahim S. B.

Published in International Journal of Energy and Power Engineering (Volume 4, Issue 4)

Received: 25 June 2015 Accepted: 1 July 2015 Published: 6 August 2015

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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.

Published in	International Journal of Energy and Power Engineering (Volume 4, Issue 4)
DOI	10.11648/j.ijepe.20150404.16
Page(s)	232-239
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Distributed Generation, Power Losses, Optimization, Placement, Sizing, Objective Function, Power flow, Distribution Networks, Multi-objective

References

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APA Style

Musa H., Ibrahim S. B. (2015). A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. International Journal of Energy and Power Engineering, 4(4), 232-239. https://doi.org/10.11648/j.ijepe.20150404.16

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ACS Style

Musa H.; Ibrahim S. B. A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. Int. J. Energy Power Eng. 2015, 4(4), 232-239. doi: 10.11648/j.ijepe.20150404.16

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AMA Style

Musa H., Ibrahim S. B. A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. Int J Energy Power Eng. 2015;4(4):232-239. doi: 10.11648/j.ijepe.20150404.16

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@article{10.11648/j.ijepe.20150404.16,
  author = {Musa H. and Ibrahim S. B.},
  title = {A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {4},
  pages = {232-239},
  doi = {10.11648/j.ijepe.20150404.16},
  url = {https://doi.org/10.11648/j.ijepe.20150404.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150404.16},
  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.},
 year = {2015}
}

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TY  - JOUR
T1  - A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement
AU  - Musa H.
AU  - Ibrahim S. B.
Y1  - 2015/08/06
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150404.16
DO  - 10.11648/j.ijepe.20150404.16
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 232
EP  - 239
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150404.16
AB  - 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.
VL  - 4
IS  - 4
ER  -

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Author Information

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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APA Style

Musa H., Ibrahim S. B. (2015). A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. International Journal of Energy and Power Engineering, 4(4), 232-239. https://doi.org/10.11648/j.ijepe.20150404.16

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ACS Style

Musa H.; Ibrahim S. B. A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. Int. J. Energy Power Eng. 2015, 4(4), 232-239. doi: 10.11648/j.ijepe.20150404.16

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AMA Style

Musa H., Ibrahim S. B. A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement. Int J Energy Power Eng. 2015;4(4):232-239. doi: 10.11648/j.ijepe.20150404.16

Copy | Download

@article{10.11648/j.ijepe.20150404.16,
  author = {Musa H. and Ibrahim S. B.},
  title = {A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement},
  journal = {International Journal of Energy and Power Engineering},
  volume = {4},
  number = {4},
  pages = {232-239},
  doi = {10.11648/j.ijepe.20150404.16},
  url = {https://doi.org/10.11648/j.ijepe.20150404.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20150404.16},
  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.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - A Review of Particle Swarm Optimization (PSO) Algorithms for Optimal Distributed Generation Placement
AU  - Musa H.
AU  - Ibrahim S. B.
Y1  - 2015/08/06
PY  - 2015
N1  - https://doi.org/10.11648/j.ijepe.20150404.16
DO  - 10.11648/j.ijepe.20150404.16
T2  - International Journal of Energy and Power Engineering
JF  - International Journal of Energy and Power Engineering
JO  - International Journal of Energy and Power Engineering
SP  - 232
EP  - 239
PB  - Science Publishing Group
SN  - 2326-960X
UR  - https://doi.org/10.11648/j.ijepe.20150404.16
AB  - 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.
VL  - 4
IS  - 4
ER  -

Copy | Download