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Volumn , Issue , 2008, Pages 3474-3478

Solving unit commitment problem by combining of continuous relaxation method and genetic algorithm

Author keywords

Genetic algorithm mixed integer nonlinear optimization; Optimization; Unit commitment problem

Indexed keywords

ALGORITHMS; CHROMOSOMES; DIESEL ENGINES; ELECTRIC GENERATORS; ELECTRIC MACHINERY; GENETIC ALGORITHMS; INFORMATION TECHNOLOGY; INSTRUMENTS; INTEGER PROGRAMMING; LARGE EDDY SIMULATION; OPTIMIZATION;

EID: 56749168844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SICE.2008.4655263     Document Type: Conference Paper
Times cited : (15)

References (13)
  • 1
    • 0034186815 scopus 로고    scopus 로고
    • Unit commitment by lagrangian relaxation and genetic algorithms
    • C. Cheng, C. Liu, and C. Liu: Unit commitment by lagrangian relaxation and genetic algorithms, IEEE Transactions on Power Systems, 15-2, 707-714 (2000).
    • (2000) IEEE Transactions on Power Systems , vol.15 -2 , pp. 707-714
    • Cheng, C.1    Liu, C.2    Liu, C.3
  • 2
    • 2542640865 scopus 로고    scopus 로고
    • A solution to the unit-commitment problem using integer-coded genetic algorithm
    • I. Damousis, A. Bakirtzis, and P. Dokopoulos: A solution to the unit-commitment problem using integer-coded genetic algorithm, IEEE Transactions on Power Systems, 19-2, 1165-1172 (2004).
    • (2004) IEEE Transactions on Power Systems , vol.19 -2 , pp. 1165-1172
    • Damousis, I.1    Bakirtzis, A.2    Dokopoulos, P.3
  • 3
    • 0033222003 scopus 로고    scopus 로고
    • K. Juste, H. Kita, E. Tanaka, and J. Hasegawa: An evolutionary programming solution to the unit commitment problem, IEEE Transactions on Power Systems, IA-A, 1452-1459 (1999).
    • K. Juste, H. Kita, E. Tanaka, and J. Hasegawa: An evolutionary programming solution to the unit commitment problem, IEEE Transactions on Power Systems, IA-A, 1452-1459 (1999).
  • 5
    • 1442264390 scopus 로고    scopus 로고
    • Unit commitment by enhanced adaptive lagrangian relaxation
    • W. Ongsakul, and N. Petcharaks: Unit commitment by enhanced adaptive lagrangian relaxation, IEEE Transactions on Power Systems, 19-1, 620-628 (2004).
    • (2004) IEEE Transactions on Power Systems , vol.19 -1 , pp. 620-628
    • Ongsakul, W.1    Petcharaks, N.2
  • 9
    • 0036474326 scopus 로고    scopus 로고
    • Unit commitment solution methodology using genetic algorithm
    • K. Swamp, and S. Yamashiro: Unit commitment solution methodology using genetic algorithm, IEEE Transactions on Power Systems, 17-1, 87-91 (2002).
    • (2002) IEEE Transactions on Power Systems , vol.17 -1 , pp. 87-91
    • Swamp, K.1    Yamashiro, S.2
  • 10
    • 33244493972 scopus 로고    scopus 로고
    • A tabu based hybrid optimization approach for a fuzzy modelled unit commitment problem
    • T.A.A. Victoire, and A.E. Jeyakumar: A tabu based hybrid optimization approach for a fuzzy modelled unit commitment problem, Electric Power Systems Research, 76, 413-425 (2006)
    • (2006) Electric Power Systems Research , vol.76 , pp. 413-425
    • Victoire, T.A.A.1    Jeyakumar, A.E.2
  • 11
    • 0026953211 scopus 로고
    • A decomposition approach to nonlinear multi-area generation scheduling with tie-line constraints using expert systems
    • C. Wang, and S. Shahidehpour: A decomposition approach to nonlinear multi-area generation scheduling with tie-line constraints using expert systems, IEEE Transactions on Power Systems, 7, 1409-1418 (1992).
    • (1992) IEEE Transactions on Power Systems , vol.7 , pp. 1409-1418
    • Wang, C.1    Shahidehpour, S.2
  • 12
    • 0036604611 scopus 로고    scopus 로고
    • Genetic algorithm based unit commitment with energy contracts
    • W. Xing, and F. Wu: Genetic algorithm based unit commitment with energy contracts, Electrical Power and Energy Systems, 24, 329-336 (2002).
    • (2002) Electrical Power and Energy Systems , vol.24 , pp. 329-336
    • Xing, W.1    Wu, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.