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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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 |
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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 |
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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. |
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Article |
author |
Aman, M.M. Jasmon, G.B. Bakar, Ab Halim Abu Mokhlis, Hazlie |
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Aman, M.M. Jasmon, G.B. Bakar, Ab Halim Abu Mokhlis, Hazlie |
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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 |
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Elsevier |
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2014 |
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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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13.160551 |