Unit commitment problem using enhanced particle swarm optimization algorithm

Soft Computing

Volumn 15, Issue 1, 2011, Pages 139-148

  Yuan, Xiaohui ^a   Su, Anjun ^a   Nie, Hao ^a   Yuan, Yanbin ^b   Wang, Liang ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Heuristic search; Particle swarm optimization; Priority list; Unit commitment

Indexed keywords

COMPUTATIONAL TIME; DISCRETE BINARY; ECONOMIC LOAD DISPATCH; ENHANCED PARTICLE SWARM OPTIMIZATION; HEURISTIC SEARCH; HEURISTIC SEARCH STRATEGY; ITERATION METHOD; NUMERICAL RESULTS; PARTICLE SWARM; PRIORITY LIST; PRODUCTION COST; SPINNING RESERVES; THREE STAGES; TIME CONSTRAINTS; UNIT CHARACTERISTICS; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS;

ELECTRIC POWER SYSTEMS; GLOBAL OPTIMIZATION; ITERATIVE METHODS; MODULAR ROBOTS; NUMERICAL METHODS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 78651506824     PISSN: 14327643     EISSN: 14337479     Source Type: Journal    
DOI: 10.1007/s00500-010-0541-y     Document Type: Article

References (22)

1. Bakirtzis A, Zoumas C (2000) Lambda of Lagrangian relaxation solution to unit commitment problem. IEE Proc Gener Transm Distrib 147(2): 131-136. doi: 10. 1049/ip-gtd: 20000173.
2. Balci H, Valenzuela J (2004) Scheduling Electric Power Generations using Particle Swarm Optimization combined with the Lagrangian Relaxation Method. Int J Appl Math Comput Sci 14(3): 411-421.
3. Cheng C, Liu C, Liu C (2000) Unit commitment by Lagrangian relaxation and genetic algorithms. IEEE Trans Power Syst 15(2): 707-714. doi: 10. 1109/59. 867163.
4. Clerc M, Kennedy J (2002) The particle swarm: Explosion stability and convergence in a multi-dimensional complex space. IEEE Trans Evol Comput 6(1): 58-73. doi: 10. 1109/4235. 985692.
5. Cohen A, Yoshimura M (1983) A branch-and-bound algorithm for unit commitment. IEEE Trans Power Apparatus Syst 102(2): 444-451. doi: 10. 1109/TPAS. 1983. 317714.
6. Damousis I, Bakirtzis A, Dokopoulos P (2004) A solution to the unit-commitment problem using integer-coded genetic algorithm. IEEE Trans Power Syst 19(2): 1165-1172. doi: 10. 1109/TPWRS. 2003. 821625.
7. Dieu V, Ongsakul W (2006) Enhanced augmented Lagrangian hopfield network for unit commitment. IEE Proc Gener Transm Distrib 153(6): 624-632. doi: 10. 1049/ip-gtd: 20050460.
8. Jorge V, Smith A (2002) A seeded memetic algorithm for large unit commitment problems. J Heuristics 8: 173-195. doi: 10. 1023/A: 1017960507177.
9. Juste K, Kita H, Tanaka E (1999) An evolutionary programming solution to the unit commitment problem. IEEE Trans Power Syst 14(4): 452-459. doi: 10. 1109/59. 801925.
10. Kazarlis S, Bakirtzis A (1996) A genetic algorithm solution to the unit commitment problem. IEEE Trans Power Syst 11(1): 83-92. doi: 10. 1109/59. 485989.
11. Kennedy J, Eberhart RC (1997) A Discrete Binary Version of the Particle Swarm Algorithm. Proceedings of the Conference on Systems, Man, and Cybernetics, Piscataway, N. J, 4104-4108.
12. Khodaverdian E, Brameller A, Dunnitt R (1986) Semi-rigorous thermal unit commitment for large scale electric power systems. Proc Inst Electr Eng 133: 157-164.
13. Lee T, Chen C (2007) Unit commitment with probabilistic reserve-an IPSO approach. Energy Convers Manage 48: 486-493. doi: 10. 1016/j. enconman. 2006. 06. 015.
14. Mantawy A, Abdel T, Selim S (1998) Unit commitment by tabu search. IEE Proc Gener Transm Distrib 145(1): 56-64. doi: 10. 1049/ip-gtd: 19981681.
15. Ongsakul W, Petcharaks N (2004) Unit commitment by enhanced adaptive Lagrangian relaxation. IEEE Trans Power Syst 19(1): 620-628. doi: 10. 1109/TPWRS. 2003. 820707.
16. Samer T, John B (2000) Using integer programming to refine Lagrangian-based unit commitment solutions. IEEE Trans Power Syst 15(1): 151-156. doi: 10. 1109/59. 852114.
17. Senjyu T, Yamashiro H (2002) Uezato K A unit commitment problem by using genetic algorithm based on characteristic classification. Proc IEEE/Power Eng Soc Winter Meet 1: 58-63.
18. Senjyu T, Miyagi T, Saber A (2006) Emerging solution of large-scale unit commitment problem by stochastic priority list. Electr Power Syst Res 76: 283-292. doi: 10. 1016/j. epsr. 2005. 07. 002.
19. Su C, Hsu Y (1991) Fuzzy dynamic programming: an application to unit commitment. IEEE Trans Power Syst 6(3): 1231-1237. doi: 10. 1109/59. 119271.
20. Ting T, Rao M, Loo C (2003) Solving unit commitment problem using hybrid particle swarm optimization. J Heuristics 9: 507-520. doi: 10. 1023/B: HEUR. 0000012449. 84567. 1a.
21. Wood A, Wollenberg B (1996) Power Generation, Operation, and Control. Wiley, New York.
22. Zhuang F, Galiana F (1990) Unit commitment by simulated annealing. IEEE Trans Power Syst 5(1): 311-317. doi: 10. 1109/59. 49122.