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Volumn 36, Issue 3 PART 1, 2009, Pages 5081-5086

Fuzzy and simulated annealing based dynamic programming for the unit commitment problem

Author keywords

Dynamic programming; Fuzzy based unit selection; Heuristic procedures; Simulated annealing; Unit commitment problem

Indexed keywords

ELECTRIC LOAD DISPATCHING; HEURISTIC METHODS; SCHEDULING; SIMULATED ANNEALING; URANIUM COMPOUNDS;

EID: 58749115056     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.06.039     Document Type: Article
Times cited : (39)

References (22)
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    • Unit commitment by lagrangian relaxation and genetic algorithms
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  • 6
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    • Unit commitment with primary frequency regulation constraints
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    • Fu, Y.1    Shahidehpour, M.2    Li, Z.3
  • 8
    • 28244477409 scopus 로고    scopus 로고
    • Long-term security-constrained unit commitment: Hybrid Dantzig-Wolfe decomposition and subgradient approach
    • Fu Y., Shahidehpour M., and Li Z. Long-term security-constrained unit commitment: Hybrid Dantzig-Wolfe decomposition and subgradient approach. IEEE Transactions on Power Systems 20 4 (2005) 2093-2106
    • (2005) IEEE Transactions on Power Systems , vol.20 , Issue.4 , pp. 2093-2106
    • Fu, Y.1    Shahidehpour, M.2    Li, Z.3
  • 11
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    • A solution to the unit-commitment problem using integer-coded genetic algorithm
    • Damousis I.G., Bakirtzis A.G., and Dokopoulos P.S. A solution to the unit-commitment problem using integer-coded genetic algorithm. IEEE Transactions on Power Systems 19 2 (2004) 1165-1172
    • (2004) IEEE Transactions on Power Systems , vol.19 , Issue.2 , pp. 1165-1172
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    • Senjyu, T., Yamashiro, H., Uezato, K., Funabashi, T. (2002). A unit commitment problem by using genetic algorithm based on characteristic classification. In Proceedings of IEEE/power engineering society winter meeting (Vol. 1, pp. 58-63).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.