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...
| Main Authors: | , , , |
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| Format: | Article |
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2003
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2524/ |
| _version_ | 1848790078937104384 |
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| author | Ting, Tiew-On Rao, M.V.C. Loo, C.K. Ngu, S.S. |
| author_facet | Ting, Tiew-On Rao, M.V.C. Loo, C.K. Ngu, S.S. |
| author_sort | Ting, Tiew-On |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T18:06:54Z |
| format | Article |
| id | mmu-2524 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:06:54Z |
| publishDate | 2003 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-25242011-08-22T06:30:51Z http://shdl.mmu.edu.my/2524/ Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization Ting, Tiew-On Rao, M.V.C. Loo, C.K. Ngu, S.S. QA75.5-76.95 Electronic computers. Computer science 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 NonPeerReviewed Ting, Tiew-On 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://dx.doi.org/10.1023/B:HEUR.0000012449.84567.1a doi:10.1023/B:HEUR.0000012449.84567.1a doi:10.1023/B:HEUR.0000012449.84567.1a |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Ting, Tiew-On Rao, M.V.C. Loo, C.K. Ngu, S.S. Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization |
| title | 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_short | Solving Unit Commitment Problem Using Hybrid Particle Swarm Optimization |
| title_sort | solving unit commitment problem using hybrid particle swarm optimization |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2524/ http://shdl.mmu.edu.my/2524/ http://shdl.mmu.edu.my/2524/ |