Short-term thermal generation scheduling using improved immune algorithm

Electric Power Systems Research - Tập 76 - Trang 360-373 - 2006
Gwo-Ching Liao1
1Department of Electrical Engineering, Fortune Institute of Technology, Kaohsiung County, 125-8 Chyi-Wen Road, Chyi-Shan 842, Taiwan

Tài liệu tham khảo

Syder, 1987, Dynamic programming development of theory, IEEE Trans. PWRS, 2, 339 Lowery, 1983, Generation unit commitment by dynamic programming, IEEE Trans. Power Syst., 102, 1218 Muckstadt, 1968, An application of mixed integer programming duality to scheduling thermal generating systems, IEEE Trans. Power Apparatus Syst., PSA-87, 968 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. Hobbs, 1988, An enhanced dynamic programming approach for unit commitment, IEEE Trans. Power Syst., 3, 1201, 10.1109/59.14582 Ouyang, 1990, Short-term unit commitment expert system, EPSR, 19, 1 Hamdam, 1991, Integrating an expert system into a thermal unit commitment algorithm, IEE Proc. Pt. C. Gener., Trans. Distrib., 138, 553, 10.1049/ip-c.1991.0069 Saneifard, 1997, A fuzzy approach to unit commitment, IEEE Trans. Power Syst., 12, 988, 10.1109/59.589804 Su, 1991, Fuzzy dynamic programming: an application to unit commitment, IEEE Trans. Power Deliv., 6 Virmani, 1989, Implementation of a Lagrangian relaxation based unit commitment problem, IEEE Trans. Power Syst., 4, 1373, 10.1109/59.41687 Wang, 1995, Short-term generation scheduling with transmission and environmental constraints using an augmented Lagrangian relaxation, IEEE Trans. Power Syst., 10, 1294, 10.1109/59.466524 Zhuang, 1988, Unit commitment by Lagrangian relaxation, IEEE Trans. Power Syst., 4, 763, 10.1109/59.192933 Zhuang, 1988, Towards a more rigorous and practical unit commitment by Lagrangian relaxation, IEEE Trans. PWRS, 3, 763 Zhai, 2002, Unit commitment with identical units: successive subproblem solving method based on Lagrangian relaxation, IEEE Trans. Power Syst., 17, 1250, 10.1109/TPWRS.2002.805003 Borghetti, 2001, Lagrangian relaxation and Tabu search approaches for unit commitment problem Zhuang, 1990, Unit commitment by simulated annealing, IEEE Trans. Power Syst., 5, 311, 10.1109/59.49122 Wong, 1994, Short-term hydro-thermal scheduling, part. I. Simulated annealing approach, IEE Proc-gene Trans. Dist., 141, 497, 10.1049/ip-gtd:19941350 Purushothama, 2003, Simulated Annealing with local search—a hybrid algorithm for unit commitment, IEEE Trans. Power Syst., 18, 273, 10.1109/TPWRS.2002.807069 Viana, 2001, Simulated annealing for the unit commitment problem Mantawy, 1999, Integrating genetic algorithms, Tabu search and simulated annealing for the unit commitment problem, IEEE Trans. Power Syst., 14, 829, 10.1109/59.780892 Rajan, 2003, Neural based Tabu search method for solving unit commitment problem, IEE Proc. Gener. Trans. Distrib., 150, 469, 10.1049/ip-gtd:20030244 Dasgupta, 1994, Thermal unit commitment using genetic algorithms, IEE Proc. Part C, 141, 459 Sheble, 1994, Unit commitment by genetic algorithms and expert system, EPSR, 30, 115 Karzalis, 1996, A genetic algorithm solution of the unit commitment problem, IEEE Trans. PWRS, 11, 83 Liao, 2002, The use of genetic algorithm/fuzzy system and Tabu Search for short-term unit commitment, power conference, 2002, 2302 Ma, 1995, A genetic algorithm based approach to thermal unit commitment of electric power system, EPSR, 34, 29 Mashhadi, 2003, A new genetic algorithm with Lamarckian individual learning for generation scheduling, IEEE Trans. Power Syst., 18, 1181, 10.1109/TPWRS.2003.814888 Arroyo, 2003, A parallel repair genetic algorithm to solve the unit commitment problem, IEEE Trans. Power Syst., 17, 1216, 10.1109/TPWRS.2002.804953 Aldridge, 2001, Knowledge based genetic algorithm for unit commitment, IEE Proc. Gener. Trans. Distrib., 148, 146, 10.1049/ip-gtd:20010022 Endoh, 1998, Immune algorithm for n-TSP, system, man and cybernetics, 3844 Lin, 2001, Feeder reconfiguration for distribution system contingencies with immune algorithm Hong, 2002, Immune algorithm, 1784 Kim, 2002, Parameter tuning of fuzzy neural networks by immune algorithm, fuzzy system, 2002, 408 Yong, 2002, Short-term load forecasting using artificial immune network, power con 2002, 2322 Wang, 2002, Modeling the circulating fluidized bed boiler using RBF-NN based on immune genetic algorithm, 2121 Wang, 1998, On chaotic simulated annealing, IEEE Trans. Neural Networks, 9, 716, 10.1109/72.701185 Shi, 1999, Implementation of evolutionary fuzzy system, IEEE Trans. Fuzzy Syst., 7, 109, 10.1109/91.755393 Liao, 2004, Integrated evolving fuzzy neural networks and artificial intelligence for load forecasting, J. Eng. Intell. Syst., 12, 73