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Solving unit commitment problem using hybrid particle swarm optimization

This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) problem. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the tot...

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Main Authors: Ting, T.O., Rao, M.V.C., Loo, C.K., Ngu, S.S.
Format: Article
Published: 2003
Subjects:
T Technology (General)
Online Access:http://eprints.um.edu.my/5196/
http://download.springer.com/static/pdf/769/art%253A10.1023%252FB%253AHEUR.0000012449.84567.1a.pdf?auth66=1352708429_418c3f367323dc9a4a18b7004c421aed&ext=.pdf
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spelling my.um.eprints.51962013-03-21T02:01:56Z http://eprints.um.edu.my/5196/ Solving unit commitment problem using hybrid particle swarm optimization Ting, T.O. Rao, M.V.C. Loo, C.K. Ngu, S.S. T Technology (General) This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) problem. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the total objective function while satisfying all the associated constraints. Problem formulation, representation and the simulation results for a 10 generator-scheduling problem are presented. Results shown are acceptable at this early stage. 2003 Article PeerReviewed Ting, T.O. and Rao, M.V.C. and Loo, C.K. and Ngu, S.S. (2003) Solving unit commitment problem using hybrid particle swarm optimization. Journal of Heuristics, 9 (6). pp. 507-520. ISSN 1381-1231 http://download.springer.com/static/pdf/769/art%253A10.1023%252FB%253AHEUR.0000012449.84567.1a.pdf?auth66=1352708429_418c3f367323dc9a4a18b7004c421aed&ext=.pdf
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 T Technology (General)
spellingShingle T Technology (General)
Ting, T.O.
Rao, M.V.C.
Loo, C.K.
Ngu, S.S.
Solving unit commitment problem using hybrid particle swarm optimization
description This paper presents a Hybrid Particle Swarm Optimization (HPSO) to solve the Unit Commitment (UC) problem. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the total objective function while satisfying all the associated constraints. Problem formulation, representation and the simulation results for a 10 generator-scheduling problem are presented. Results shown are acceptable at this early stage.
format Article
author Ting, T.O.
Rao, M.V.C.
Loo, C.K.
Ngu, S.S.
author_facet Ting, T.O.
Rao, M.V.C.
Loo, C.K.
Ngu, S.S.
author_sort Ting, T.O.
title Solving unit commitment problem using hybrid particle swarm optimization
title_short Solving unit commitment problem using hybrid particle swarm optimization
title_full Solving unit commitment problem using hybrid particle swarm optimization
title_fullStr Solving unit commitment problem using hybrid particle swarm optimization
title_full_unstemmed Solving unit commitment problem using hybrid particle swarm optimization
title_sort solving unit commitment problem using hybrid particle swarm optimization
publishDate 2003
url http://eprints.um.edu.my/5196/
http://download.springer.com/static/pdf/769/art%253A10.1023%252FB%253AHEUR.0000012449.84567.1a.pdf?auth66=1352708429_418c3f367323dc9a4a18b7004c421aed&ext=.pdf
_version_ 1643687510980689920
score 13.18916

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