A novel approach for unit commitment problem via an effective hybrid particle swarm optimization

This paper presents a new approach via hybrid particle swarm optimization (HPSO) scheme to solve the unit commitment (UC) problem. HPSO proposed in this paper is a blend of binary particle swarm optimization (BPSO) and real coded particle swarm optimization (RCPSO). The UC problem is handled by BPSO...

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Main Authors:	Ting, T.O., Rao, M.V.C., Loo, C.K.
Format:	Article
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2006
Subjects:	T Technology (General)
Online Access:	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1583740 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1583740

id	um-5194
recordtype	eprints
spelling	um-51942017-07-08T04:02:15Z A novel approach for unit commitment problem via an effective hybrid particle swarm optimization Ting, T.O. Rao, M.V.C. Loo, C.K. T Technology (General) This paper presents a new approach via hybrid particle swarm optimization (HPSO) scheme to solve the unit commitment (UC) problem. HPSO proposed in this paper is a blend of binary particle swarm optimization (BPSO) and real coded particle swarm optimization (RCPSO). The UC problem is handled by BPSO, while RCPSO solves the economic load dispatch problem. Both algorithms are run simultaneously, adjusting their solutions in search of a better solution. Problem formulation of the UC takes into consideration the minimum up and down time constraints, start-up cost, and spinning reserve and 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 ten generator-scheduling problem are presented. Results clearly show that HPSO is very competent in solving the UC problem in comparison to other existing methods. Institute of Electrical and Electronics Engineers (IEEE) 2006 Article PeerReviewed http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1583740 Ting, T.O.; Rao, M.V.C.; Loo, C.K. (2006) A novel approach for unit commitment problem via an effective hybrid particle swarm optimization. IEEE Transactions on Power Systems <http://eprints.um.edu.my/view/publication/IEEE_Transactions_on_Power_Systems.html>, 21 (1). pp. 411-418. ISSN 0885-8950 http://eprints.um.edu.my/5194/
repository_type	Digital Repository
institution_category	Local University
institution	University Malaya
building	UM Research Repository
collection	Online Access
topic	T Technology (General)
spellingShingle	T Technology (General) Ting, T.O. Rao, M.V.C. Loo, C.K. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
description	This paper presents a new approach via hybrid particle swarm optimization (HPSO) scheme to solve the unit commitment (UC) problem. HPSO proposed in this paper is a blend of binary particle swarm optimization (BPSO) and real coded particle swarm optimization (RCPSO). The UC problem is handled by BPSO, while RCPSO solves the economic load dispatch problem. Both algorithms are run simultaneously, adjusting their solutions in search of a better solution. Problem formulation of the UC takes into consideration the minimum up and down time constraints, start-up cost, and spinning reserve and 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 ten generator-scheduling problem are presented. Results clearly show that HPSO is very competent in solving the UC problem in comparison to other existing methods.
format	Article
author	Ting, T.O. Rao, M.V.C. Loo, C.K.
author_facet	Ting, T.O. Rao, M.V.C. Loo, C.K.
author_sort	Ting, T.O.
title	A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
title_short	A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
title_full	A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
title_fullStr	A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
title_full_unstemmed	A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
title_sort	novel approach for unit commitment problem via an effective hybrid particle swarm optimization
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2006
url	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1583740 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1583740
first_indexed	2018-09-05T16:50:11Z
last_indexed	2018-09-05T16:50:11Z
_version_	1610833560515641344

A novel approach for unit commitment problem via an effective hybrid particle swarm optimization

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