Solving unit commitment problem using hybrid particle swarm optimization

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

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Abstract

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.

Item Type: Article
Additional Information: Ting, TO Rao, MVC Loo, CK Ngu, SS
Uncontrolled Keywords: Unit commitment; Hybrid particle swarm optimization (HPSO), industrial
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Dept of Artificial Intelligence
Depositing User: Miss Nur Jannatul Adnin Ahmad Shafawi
Date Deposited: 21 Mar 2013 02:01
Last Modified: 21 Mar 2013 02:01
URI: http://eprints.um.edu.my/id/eprint/5196

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