A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm

This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placement and sizing based on maximization of system loadability without violating the system constraints. DG penetration level, line limit and voltage magnitudes are considered as system constraints. HPSO...

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Main Authors: Aman, M.M., Jasmon, G.B., Bakar, Ab Halim Abu, Mokhlis, Hazlie
Format: Article
Published: Elsevier 2014
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Online Access:http://eprints.um.edu.my/11777/
http://www.sciencedirect.com/science/article/pii/S0360544213010943
http://dx.doi.org/10.1016/j.energy.2013.12.037
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spelling my.um.eprints.117772019-10-10T02:33:39Z http://eprints.um.edu.my/11777/ A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm Aman, M.M. Jasmon, G.B. Bakar, Ab Halim Abu Mokhlis, Hazlie TA Engineering (General). Civil engineering (General) This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placement and sizing based on maximization of system loadability without violating the system constraints. DG penetration level, line limit and voltage magnitudes are considered as system constraints. HPSO (hybrid particle swarm optimization) algorithm is also proposed in this paper to find the optimum solution considering maximization of system loadability and the corresponding minimum power losses. The proposed method is tested on standard 16-bus, 33-bus and 69-bus radial distribution test systems. This paper will also compare the proposed method with existing Ettehadi method and present the effectiveness of the proposed method in terms of reduction in power system losses, maximization of system loadability and voltage quality improvement. Elsevier 2014-03-01 Article PeerReviewed Aman, M.M. and Jasmon, G.B. and Bakar, Ab Halim Abu and Mokhlis, Hazlie (2014) A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm. Energy, 66. pp. 202-215. ISSN 0360-5442 http://www.sciencedirect.com/science/article/pii/S0360544213010943 http://dx.doi.org/10.1016/j.energy.2013.12.037
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Aman, M.M.
Jasmon, G.B.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
description This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placement and sizing based on maximization of system loadability without violating the system constraints. DG penetration level, line limit and voltage magnitudes are considered as system constraints. HPSO (hybrid particle swarm optimization) algorithm is also proposed in this paper to find the optimum solution considering maximization of system loadability and the corresponding minimum power losses. The proposed method is tested on standard 16-bus, 33-bus and 69-bus radial distribution test systems. This paper will also compare the proposed method with existing Ettehadi method and present the effectiveness of the proposed method in terms of reduction in power system losses, maximization of system loadability and voltage quality improvement.
format Article
author Aman, M.M.
Jasmon, G.B.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
author_facet Aman, M.M.
Jasmon, G.B.
Bakar, Ab Halim Abu
Mokhlis, Hazlie
author_sort Aman, M.M.
title A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
title_short A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
title_full A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
title_fullStr A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
title_full_unstemmed A new approach for optimum simultaneous multi-DG distributed generation Units placement and sizing based on maximization of system loadability using HPSO (hybrid particle swarm optimization) algorithm
title_sort new approach for optimum simultaneous multi-dg distributed generation units placement and sizing based on maximization of system loadability using hpso (hybrid particle swarm optimization) algorithm
publisher Elsevier
publishDate 2014
url http://eprints.um.edu.my/11777/
http://www.sciencedirect.com/science/article/pii/S0360544213010943
http://dx.doi.org/10.1016/j.energy.2013.12.037
_version_ 1648736121141592064
score 13.160551