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Optimal location of a new generating unit using particle swarm optimization

The electricity consumption has been continuously increasing due to rapid population growth, economic growth and developing industrial sectors. Therefore, it is necessary to forecast the future load demand and expand generation capacity to meet the increasing load demand. This paper presents a metho...

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Main Authors: Suharto, M. N., Hassan, M. Y., Abdullah, M. P., Majid, M. S.
Format: Conference or Workshop Item
Published: 2011
Online Access:http://eprints.utm.my/id/eprint/46094/
http://dx.doi.org/10.1109/PEOCO.2011.5970444
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spelling my.utm.460942017-08-29T08:22:58Z http://eprints.utm.my/id/eprint/46094/ Optimal location of a new generating unit using particle swarm optimization Suharto, M. N. Hassan, M. Y. Abdullah, M. P. Majid, M. S. The electricity consumption has been continuously increasing due to rapid population growth, economic growth and developing industrial sectors. Therefore, it is necessary to forecast the future load demand and expand generation capacity to meet the increasing load demand. This paper presents a methodology to determine the optimal location for installing a new generating unit in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum overall fuel cost, total emission and system loss is considered as the optimal location for installing the new generating unit. Particle swarm optimization (PSO) is employed in the proposed methodology to solve the optimization problem. The proposed methodology would be appropriate for an electric utility with a central planning organization. Case studies are carried out on IEEE 14-bus system to illustrate the potential of the new approach. The results show that the method works effectively and applicable to practical network. 2011 Conference or Workshop Item PeerReviewed Suharto, M. N. and Hassan, M. Y. and Abdullah, M. P. and Majid, M. S. (2011) Optimal location of a new generating unit using particle swarm optimization. In: The 5th International Power Engineering And Optimization Conference (Peoco2011). http://dx.doi.org/10.1109/PEOCO.2011.5970444
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
description The electricity consumption has been continuously increasing due to rapid population growth, economic growth and developing industrial sectors. Therefore, it is necessary to forecast the future load demand and expand generation capacity to meet the increasing load demand. This paper presents a methodology to determine the optimal location for installing a new generating unit in which the technical, economic and environmental aspects are all taken into consideration. The location that yields the minimum overall fuel cost, total emission and system loss is considered as the optimal location for installing the new generating unit. Particle swarm optimization (PSO) is employed in the proposed methodology to solve the optimization problem. The proposed methodology would be appropriate for an electric utility with a central planning organization. Case studies are carried out on IEEE 14-bus system to illustrate the potential of the new approach. The results show that the method works effectively and applicable to practical network.
format Conference or Workshop Item
author Suharto, M. N.
Hassan, M. Y.
Abdullah, M. P.
Majid, M. S.
spellingShingle Suharto, M. N.
Hassan, M. Y.
Abdullah, M. P.
Majid, M. S.
Optimal location of a new generating unit using particle swarm optimization
author_facet Suharto, M. N.
Hassan, M. Y.
Abdullah, M. P.
Majid, M. S.
author_sort Suharto, M. N.
title Optimal location of a new generating unit using particle swarm optimization
title_short Optimal location of a new generating unit using particle swarm optimization
title_full Optimal location of a new generating unit using particle swarm optimization
title_fullStr Optimal location of a new generating unit using particle swarm optimization
title_full_unstemmed Optimal location of a new generating unit using particle swarm optimization
title_sort optimal location of a new generating unit using particle swarm optimization
publishDate 2011
url http://eprints.utm.my/id/eprint/46094/
http://dx.doi.org/10.1109/PEOCO.2011.5970444
_version_ 1643651934456905728
score 13.211869

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