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- Publisher Website: 10.1109/IJCNN.2014.6889548
- Scopus: eid_2-s2.0-84908476585
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Conference Paper: A heuristic to generate initial feasible solutions for the Unit Commitment problem
Title | A heuristic to generate initial feasible solutions for the Unit Commitment problem |
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Authors | |
Keywords | Chemical reaction optimization Heuristic Unit commitment Power grid |
Issue Date | 2014 |
Publisher | IEEE. |
Citation | The 2014 International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, 6-11 July 2014. In Conference Proceedings, 2014, p. 913-920 How to Cite? |
Abstract | This paper presents a heuristic approach to generate initial feasible solutions for the Unit Commitment (UC) problem in electric power generation. The Chemical Reaction Optimization (CRO) algorithm is implemented to solve this problem. Multiple generator constraints and system constraints are considered. We also program the binary PSO and the Elite PSO (EPSO) for comparison. The proposed heuristic approach is combined with the three optimization algorithms to form H-CRO, H-PSO and H-EPSO. We test the performance of all algorithms on the standard 10-unit system. Simulation results show that the heuristic can improve the performance and CRO provides better convergence than the two PSO algorithms. H-CRO is also tested on a 20-unit and 100-unit system to show its capability. The results provided in this paper suggest that the proposed heuristic approach is a better alternative for solving the UC problem. CRO also has its advantage in optimizing UC problems. © 2014 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/219764 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Sun, Y | - |
dc.contributor.author | Lam, AYS | - |
dc.contributor.author | Li, VOK | - |
dc.date.accessioned | 2015-09-23T02:57:54Z | - |
dc.date.available | 2015-09-23T02:57:54Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | The 2014 International Joint Conference on Neural Networks (IJCNN 2014), Beijing, China, 6-11 July 2014. In Conference Proceedings, 2014, p. 913-920 | - |
dc.identifier.isbn | 978-1-4799-1484-5 | - |
dc.identifier.uri | http://hdl.handle.net/10722/219764 | - |
dc.description.abstract | This paper presents a heuristic approach to generate initial feasible solutions for the Unit Commitment (UC) problem in electric power generation. The Chemical Reaction Optimization (CRO) algorithm is implemented to solve this problem. Multiple generator constraints and system constraints are considered. We also program the binary PSO and the Elite PSO (EPSO) for comparison. The proposed heuristic approach is combined with the three optimization algorithms to form H-CRO, H-PSO and H-EPSO. We test the performance of all algorithms on the standard 10-unit system. Simulation results show that the heuristic can improve the performance and CRO provides better convergence than the two PSO algorithms. H-CRO is also tested on a 20-unit and 100-unit system to show its capability. The results provided in this paper suggest that the proposed heuristic approach is a better alternative for solving the UC problem. CRO also has its advantage in optimizing UC problems. © 2014 IEEE. | - |
dc.language | eng | - |
dc.publisher | IEEE. | - |
dc.relation.ispartof | International Joint Conference on Neural Networks, IJCNN 2014 | - |
dc.rights | International Joint Conference on Neural Networks, IJCNN 2014. Copyright © IEEE. | - |
dc.rights | ©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Chemical reaction optimization | - |
dc.subject | Heuristic | - |
dc.subject | Unit commitment | - |
dc.subject | Power grid | - |
dc.title | A heuristic to generate initial feasible solutions for the Unit Commitment problem | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Sun, Y: sunyimik@hku.hk | - |
dc.identifier.email | Lam, AYS: ayslam@eee.hku.hk | - |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Lam, AYS=rp02083 | - |
dc.identifier.authority | Li, VOK=rp00150 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/IJCNN.2014.6889548 | - |
dc.identifier.scopus | eid_2-s2.0-84908476585 | - |
dc.identifier.hkuros | 254220 | - |
dc.identifier.spage | 913 | - |
dc.identifier.epage | 920 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 151103 | - |