메뉴 건너뛰기




Volumn 76, Issue 5, 2006, Pages 360-373

Short-term thermal generation scheduling using improved immune algorithm

Author keywords

Annealing immune; Fuzzy system; Immune algorithm; Unit commitment

Indexed keywords

ANNEALING IMMUNE; FUZZY SYSTEM; IMMUNE ALGORITHMS (IA); UNIT COMMITMENT;

EID: 31344470232     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2005.06.009     Document Type: Article
Times cited : (29)

References (38)
  • 1
    • 0023347504 scopus 로고
    • Dynamic programming development of theory
    • W.L. Syder, H.D. Powell, and J.C. Rayburn Dynamic programming development of theory IEEE Trans. PWRS 2 4 1987 339 350
    • (1987) IEEE Trans. PWRS , vol.2 , Issue.4 , pp. 339-350
    • Syder, W.L.1    Powell, H.D.2    Rayburn, J.C.3
  • 2
    • 0006715697 scopus 로고
    • Generation unit commitment by dynamic programming
    • P.G. Lowery Generation unit commitment by dynamic programming IEEE Trans. Power Syst. 102 3 1983 1218 1225
    • (1983) IEEE Trans. Power Syst. , vol.102 , Issue.3 , pp. 1218-1225
    • Lowery, P.G.1
  • 3
    • 84921122504 scopus 로고
    • An application of mixed integer programming duality to scheduling thermal generating systems
    • J.A. Muckstadt, and R.C. Wilson An application of mixed integer programming duality to scheduling thermal generating systems IEEE Trans. Power Apparatus Syst. PSA-87 12 1968 968 1977
    • (1968) IEEE Trans. Power Apparatus Syst. , vol.PSA-87 , Issue.12 , pp. 968-1977
    • Muckstadt, J.A.1    Wilson, R.C.2
  • 4
    • 1442276176 scopus 로고
    • Optimization of priority lists for a unit commitment program
    • Paper A 75 453-1 Presented at the
    • R.M. Burns, C.A. Gibson, Optimization of priority lists for a unit commitment program, Paper A 75 453-1 Presented at the IEEE/PES Summer Meeting, 1975.
    • (1975) IEEE/PES Summer Meeting
    • Burns, R.M.1    Gibson, C.A.2
  • 5
    • 0024054074 scopus 로고
    • An enhanced dynamic programming approach for unit commitment
    • W.J. Hobbs, G. Hermon, S. Warner, and G.B. Sheble An enhanced dynamic programming approach for unit commitment IEEE Trans. Power Syst. 3 3 1988 1201 1205
    • (1988) IEEE Trans. Power Syst. , vol.3 , Issue.3 , pp. 1201-1205
    • Hobbs, W.J.1    Hermon, G.2    Warner, S.3    Sheble, G.B.4
  • 6
    • 0025548423 scopus 로고
    • Short-term unit commitment expert system
    • Z. Ouyang, and S.M. Shahidehpour Short-term unit commitment expert system EPSR 19 3 1990 1 13
    • (1990) EPSR , vol.19 , Issue.3 , pp. 1-13
    • Ouyang, Z.1    Shahidehpour, S.M.2
  • 7
    • 0026255175 scopus 로고
    • Integrating an expert system into a thermal unit commitment algorithm
    • R. Hamdam, and K. Mohamed-Nor Integrating an expert system into a thermal unit commitment algorithm IEE Proc. Pt. C. Gener., Trans. Distrib. 138 6 1991 553 559
    • (1991) IEE Proc. Pt. C. Gener., Trans. Distrib. , vol.138 , Issue.6 , pp. 553-559
    • Hamdam, R.1    Mohamed-Nor, K.2
  • 9
    • 0026202578 scopus 로고
    • Fuzzy dynamic programming: An application to unit commitment
    • C.C. Su, and Y.Y. Hsu Fuzzy dynamic programming: an application to unit commitment IEEE Trans. Power Deliv. 6 3. 1991
    • (1991) IEEE Trans. Power Deliv. , vol.6 , Issue.3
    • Su, C.C.1    Hsu, Y.Y.2
  • 10
    • 0024765474 scopus 로고
    • Implementation of a Lagrangian relaxation based unit commitment problem
    • S. Virmani, E.C. Anderian, K. Imhof, and Mukherjoe Implementation of a Lagrangian relaxation based unit commitment problem IEEE Trans. Power Syst. 4 4 1989 1373 1379
    • (1989) IEEE Trans. Power Syst. , vol.4 , Issue.4 , pp. 1373-1379
    • Virmani, S.1    Anderian, E.C.2    Imhof, K.3    Mukherjoe4
  • 11
    • 0029356616 scopus 로고
    • Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation
    • S.J. Wang, M. Shahidehpour, D.S. Kirschen, S. Mokhtar, and G.D. Irisarri Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation IEEE Trans. Power Syst. 10 3 1995 1294 1301
    • (1995) IEEE Trans. Power Syst. , vol.10 , Issue.3 , pp. 1294-1301
    • Wang, S.J.1    Shahidehpour, M.2    Kirschen, D.S.3    Mokhtar, S.4    Irisarri, G.D.5
  • 12
    • 0024001585 scopus 로고
    • Unit commitment by Lagrangian relaxation
    • F. Zhuang, and F.D. Galiana Unit commitment by Lagrangian relaxation IEEE Trans. Power Syst. 4 3 1988 763 770
    • (1988) IEEE Trans. Power Syst. , vol.4 , Issue.3 , pp. 763-770
    • Zhuang, F.1    Galiana, F.D.2
  • 13
    • 0024001585 scopus 로고
    • Towards a more rigorous and practical unit commitment by Lagrangian relaxation
    • F. Zhuang, and F.D. Galiana Towards a more rigorous and practical unit commitment by Lagrangian relaxation IEEE Trans. PWRS 3 2 1988 763 772
    • (1988) IEEE Trans. PWRS , vol.3 , Issue.2 , pp. 763-772
    • Zhuang, F.1    Galiana, F.D.2
  • 14
    • 0036873329 scopus 로고    scopus 로고
    • Unit commitment with identical units: Successive subproblem solving method based on Lagrangian relaxation
    • Q. Zhai, X. Guan, and J. Cui Unit commitment with identical units: successive subproblem solving method based on Lagrangian relaxation IEEE Trans. Power Syst. 17 4 2002 1250 1257
    • (2002) IEEE Trans. Power Syst. , vol.17 , Issue.4 , pp. 1250-1257
    • Zhai, Q.1    Guan, X.2    Cui, J.3
  • 16
    • 0025385335 scopus 로고
    • Unit commitment by simulated annealing
    • F. Zhuang, and F.D. Galiana Unit commitment by simulated annealing IEEE Trans. Power Syst. 5 1 1990 311 317
    • (1990) IEEE Trans. Power Syst. , vol.5 , Issue.1 , pp. 311-317
    • Zhuang, F.1    Galiana, F.D.2
  • 17
    • 0028510852 scopus 로고
    • Short-term hydro-thermal scheduling, part. I. Simulated annealing approach
    • K.P. Wong, and Y.W. Wong Short-term hydro-thermal scheduling, part. I. Simulated annealing approach IEE Proc-gene Trans. Dist. 141 5 1994 497 501
    • (1994) IEE Proc-gene Trans. Dist. , vol.141 , Issue.5 , pp. 497-501
    • Wong, K.P.1    Wong, Y.W.2
  • 18
    • 0037291017 scopus 로고    scopus 로고
    • Simulated Annealing with local search - A hybrid algorithm for unit commitment
    • G.K. Purushothama, and L. Jenkins Simulated Annealing with local search - a hybrid algorithm for unit commitment IEEE Trans. Power Syst. 18 1 2003 273 278
    • (2003) IEEE Trans. Power Syst. , vol.18 , Issue.1 , pp. 273-278
    • Purushothama, G.K.1    Jenkins, L.2
  • 20
    • 0032593076 scopus 로고    scopus 로고
    • Integrating genetic algorithms, Tabu search and simulated annealing for the unit commitment problem
    • H. Mantawy, Y.L. Abdel-Magid, and S.Z. Selim Integrating genetic algorithms, Tabu search and simulated annealing for the unit commitment problem IEEE Trans. Power Syst. 14 3 1999 829 836
    • (1999) IEEE Trans. Power Syst. , vol.14 , Issue.3 , pp. 829-836
    • Mantawy, H.1    Abdel-Magid, Y.L.2    Selim, S.Z.3
  • 21
    • 0038723185 scopus 로고    scopus 로고
    • Neural based Tabu search method for solving unit commitment problem
    • C.C.A. Rajan, M.R. Mohan, and K. Monivannan Neural based Tabu search method for solving unit commitment problem IEE Proc. Gener. Trans. Distrib. 150 4 2003 469 474
    • (2003) IEE Proc. Gener. Trans. Distrib. , vol.150 , Issue.4 , pp. 469-474
    • Rajan, C.C.A.1    Mohan, M.R.2    Monivannan, K.3
  • 22
    • 0028510913 scopus 로고
    • Thermal unit commitment using genetic algorithms
    • D. Dasgupta, and D.R. McGregor Thermal unit commitment using genetic algorithms IEE Proc. Part C 141 5 1994 459 465
    • (1994) IEE Proc. Part C , vol.141 , Issue.5 , pp. 459-465
    • Dasgupta, D.1    McGregor, D.R.2
  • 23
    • 0028460735 scopus 로고
    • Unit commitment by genetic algorithms and expert system
    • G.B. Sheble, and T.T. Maifeld Unit commitment by genetic algorithms and expert system EPSR 30 2 1994 115 121
    • (1994) EPSR , vol.30 , Issue.2 , pp. 115-121
    • Sheble, G.B.1    Maifeld, T.T.2
  • 24
    • 0030082567 scopus 로고    scopus 로고
    • A genetic algorithm solution of the unit commitment problem
    • S.A. Karzalis, A.G. Barkitzis, and Petridis A genetic algorithm solution of the unit commitment problem IEEE Trans. PWRS 11 1 1996 83 90
    • (1996) IEEE Trans. PWRS , vol.11 , Issue.1 , pp. 83-90
    • Karzalis, S.A.1    Barkitzis, A.G.2    Petridis3
  • 25
    • 84975453060 scopus 로고    scopus 로고
    • The use of genetic algorithm/fuzzy system and Tabu Search for short-term unit commitment, power conference, 2002
    • G.C. Liao, and T.P. Tsao The use of genetic algorithm/fuzzy system and Tabu Search for short-term unit commitment, power conference, 2002 International Conference on Power System Technology Proceedings, vol. 4 2002 2302 2307
    • (2002) International Conference on Power System Technology Proceedings, Vol. 4 , pp. 2302-2307
    • Liao, G.C.1    Tsao, T.P.2
  • 26
    • 0029332876 scopus 로고
    • A genetic algorithm based approach to thermal unit commitment of electric power system
    • X. Ma, A.A. El-Keib, R.E. Smith, and H. Ma A genetic algorithm based approach to thermal unit commitment of electric power system EPSR 34 1995 29 36
    • (1995) EPSR , vol.34 , pp. 29-36
    • Ma, X.1    El-Keib, A.A.2    Smith, R.E.3    Ma, H.4
  • 27
    • 0042526098 scopus 로고    scopus 로고
    • A new genetic algorithm with Lamarckian individual learning for generation scheduling
    • H.R. Mashhadi, H.M. Shanechi, and C. Lucas A new genetic algorithm with Lamarckian individual learning for generation scheduling IEEE Trans. Power Syst. 18 3 2003 1181 1186
    • (2003) IEEE Trans. Power Syst. , vol.18 , Issue.3 , pp. 1181-1186
    • Mashhadi, H.R.1    Shanechi, H.M.2    Lucas, C.3
  • 28
    • 0036872194 scopus 로고    scopus 로고
    • A parallel repair genetic algorithm to solve the unit commitment problem
    • J.M. Arroyo, and A.J. Conejo A parallel repair genetic algorithm to solve the unit commitment problem IEEE Trans. Power Syst. 17 4 2003 1216 1224
    • (2003) IEEE Trans. Power Syst. , vol.17 , Issue.4 , pp. 1216-1224
    • Arroyo, J.M.1    Conejo, A.J.2
  • 30
    • 0032310396 scopus 로고    scopus 로고
    • Immune algorithm for n-TSP, system, man and cybernetics
    • 11-14 October
    • S. Endoh, N. Toma, and K. Yamada Immune algorithm for n-TSP, system, man and cybernetics IEEE International Conference, vol. 4 11-14 October 1998 3844 3849
    • (1998) IEEE International Conference, Vol. 4 , pp. 3844-3849
    • Endoh, S.1    Toma, N.2    Yamada, K.3
  • 31
    • 84861399204 scopus 로고    scopus 로고
    • Feeder reconfiguration for distribution system contingencies with immune algorithm
    • IEEE Porto, Portugal, vol. 3, 10-13 September
    • C.H. Lin, C.S. Chen, and C.J. Wu Feeder reconfiguration for distribution system contingencies with immune algorithm Power Technical Proceedings, 2001 IEEE Porto, Portugal, vol. 3, 10-13 September 2001
    • (2001) Power Technical Proceedings, 2001
    • Lin, C.H.1    Chen, C.S.2    Wu, C.J.3
  • 33
    • 0036454138 scopus 로고    scopus 로고
    • Parameter tuning of fuzzy neural networks by immune algorithm, fuzzy system, 2002
    • 12-17 May
    • D.H. Kim Parameter tuning of fuzzy neural networks by immune algorithm, fuzzy system, 2002 Proceedings of the 2002 IEEE International Conference, vol. 1 12-17 May 2002 408 413
    • (2002) Proceedings of the 2002 IEEE International Conference, Vol. 1 , pp. 408-413
    • Kim, D.H.1
  • 36
    • 0032121571 scopus 로고    scopus 로고
    • On chaotic simulated annealing
    • L. Wang, and K. Smith On chaotic simulated annealing IEEE Trans. Neural Networks 9 4 1998 716 718
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.4 , pp. 716-718
    • Wang, L.1    Smith, K.2
  • 37
    • 0033114942 scopus 로고    scopus 로고
    • Implementation of evolutionary fuzzy system
    • Y. Shi, R. Eberhart, and Y. Chen Implementation of evolutionary fuzzy system IEEE Trans. Fuzzy Syst. 7 2 1999 109 119
    • (1999) IEEE Trans. Fuzzy Syst. , vol.7 , Issue.2 , pp. 109-119
    • Shi, Y.1    Eberhart, R.2    Chen, Y.3
  • 38
    • 4344590633 scopus 로고    scopus 로고
    • Integrated evolving fuzzy neural networks and artificial intelligence for load forecasting
    • G.C. Liao, and T.P. Tsao Integrated evolving fuzzy neural networks and artificial intelligence for load forecasting J. Eng. Intell. Syst. 12 2 2004 73 80
    • (2004) J. Eng. Intell. Syst. , vol.12 , Issue.2 , pp. 73-80
    • Liao, G.C.1    Tsao, T.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.