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https://scholarbank.nus.edu.sg/handle/10635/70461
DC Field | Value | |
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dc.title | Heuristics-based evolutionary algorithm for solving unit commitment and dispatch | |
dc.contributor.author | Srinivasan, D. | |
dc.contributor.author | Chazelas, J. | |
dc.date.accessioned | 2014-06-19T03:12:24Z | |
dc.date.available | 2014-06-19T03:12:24Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Srinivasan, D.,Chazelas, J. (2005). Heuristics-based evolutionary algorithm for solving unit commitment and dispatch. 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings 2 : 1547-1554. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 0780393635 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/70461 | |
dc.description.abstract | This paper presents an evolutionary algorithm, guided by heuristics, to solve the unit commitment and dispatch problem in large scale power systems. Unit Commitment is a non linear, large scale, and with a varied set of constraints optimization problem for which there exist no exact solution techniques with a reasonable computation time. Problem-specific heuristics have been included to increase the speed of convergence and the efficiency of the algorithm. The initial random population was seeded with good solutions using a Priority List method, and a problem specific genetic operator was used. A comparison of results with other solution techniques shows superior results, even on large scale systems. © 2005 IEEE. | |
dc.source | Scopus | |
dc.subject | Evolutionary algorithm | |
dc.subject | Power system unit commitment | |
dc.subject | Priority list heuristics | |
dc.type | Conference Paper | |
dc.contributor.department | ELECTRICAL & COMPUTER ENGINEERING | |
dc.description.sourcetitle | 2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings | |
dc.description.volume | 2 | |
dc.description.page | 1547-1554 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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