Particle swarm research of stochastic simulation for unit commitmen in wind farms integrated power system

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 24, Issue 6, 2009, Pages 129-137

  Jiang, Yuewen ^a   Chen, Chong ^a   Wen, Buying ^a  

^a FUZHOU UNIVERSITY   (China)

Author keywords

Chance constrained programming; Particle swarm optimization; Stochastic simulation; Unit commitment; Wind farm

Indexed keywords

10-UNIT SYSTEMS; CHANCE CONSTRAINED PROGRAMMING; CONSTRAINED CONDITIONS; DISCRETE BINARY; ECONOMIC DISPATCH; IMPROVED PARTICLE SWARM OPTIMIZATION; INTEGRATED POWER SYSTEMS; INTEGRATED SYSTEMS; LOCAL OPTIMAL SOLUTION; OPTIMIZATION ALGORITHMS; PARTICLE SWARM; SEARCHING STRATEGY; STOCHASTIC SIMULATION; STOCHASTIC SIMULATIONS; SUB-PROBLEMS; UNIT COMMITMENT; UNIT COMMITMENT PROBLEM; WIND FARM;

CONSTRAINED OPTIMIZATION; ELECTRIC UTILITIES; FARMS; GLOBAL OPTIMIZATION; INTEGRATED CONTROL; INTEGRATED OPTICS; MATHEMATICAL PROGRAMMING; STOCHASTIC MODELS; ULTRASONICS; WIND POWER;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 67650510730     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Kazarlis S A, Bakirtzis A G, Petridis V. A genetic algorithm solution to the unit commitment problem [J]. IEEE Transactions on Power Systems, 1996, 11 (1): 83-92.
2. Yuan Xiaohui, Wang Cheng, Yuan Yanbin, et al. A new enhanced particle swarm optimization method for unit commitment [J]. Automation of Electric Power Systems, 2005, 29 (1): 34-38.
3. Gaing Zwe Lee. Discrete particle swarm optimization algorithm for unit commitment [C]. Proceeding of IEEE Power Engineering Society General Meeting, Toronto, 2003: 418-424.
4. Zhao Bo, Cao Yijia. An improved particle swarm optimization algorithm for power system unit commitment [J]. Power System Technology, 2004, 28 (21): 6-10.
5. Hu Jiasheng, Guo Chuangxin, Cao Yijia. A hybrid particle swarm optimization method for unit commitment problem [J]. Proceedings of the CSEE, 2004, 24 (4): 24-28.
6. Lou Suhua, Yu Xinmei, Xiong Xinyin, et al. Unit commentment using improved discrete particle swarm optimization algorithm [J]. Proceedings of the CSEE, 2005, 25 (8): 30-35.
7. Jiang Xiujie, Wu Yonghua, Yang Min. PSO-GA algorithms for unit commitment of power system [J]. Relay, 2006, 34 (5): 34-38.
8. Tomonobu S, Shimabukuro K, Uezato K, et al. A fast technique for unit commitment problem by extended priority list [J]. IEEE Trans. on Power Systems, 2003, 18 (2): 882-888.
9. Yang Junjie, Zhou Jianzhong, Yu Jing, et al. A hybrid intelligent genetic algorithm for large-scale unit commitment [J]. Power System Technology, 2004, 28 (19): 47-50.
10. Kumaran G, Mouly V S R K. Using evolutionary computation to solve the economic load dispatch problem [C]. Proceedings of the 2001 Congress on Evolutionary Computation, Seoul, 2001: 296-301.
11. Liu Yong, Hou Zhijian, Jiang Chuanwen. Unit commitment via an enhanced binary particle swarm optimization algorithm [J]. Automation of Electric Power System, 2006, 30 (4): 35-39.
12. Damousis I G, Bakirtzis A G, Dokopoulos P S. Network-constrained economic dispatch using real-coded genetic algorith [J]. IEEE Trans. on Power Systems, 2003, 18 (1): 198-205.
13. Lei Yazhou. Studies on wind farm integration into power system [J]. Automation of Electric Power Systems, 2003, 27 (8): 84-89.
14. Chen Haiyan, Chen Jinfu, Duan Xianzhong. Fuzzy modeling and optimization algorithm on dynamic economic dispatch in wind power integrated system [J]. Automation of Electric Power Systems, 2006, 30 (2): 22-26.
15. Schlueter R A, et al. Modification of power system operation for significant wind generation penetration [J]. IEEE Transactions on Power Apparatus and Systems, 1983, PAS-102 (1): 153-161.
16. 1998.
17. Lei Yazhou, Wang Weisheng, Yin Yonghua, et al. Wind power penetration limit calculation based on chance constrained programming [J]. Proceedings of the CSEE, 2002, 22 (5): 32-35.
18. Yang Ning, Wen Fushuan. Transmission system expansion planning based on chance constrained programming [J]. Automation of Electric Power Systems, 2004, 28 (14): 23-27.
19. Lei Yazhou, Wang Weisheng, Yin Yonghua, et al. Analysis of wind power value to power system operation [J]. Power System Technology, 2006, 26 (5): 10-14.
20. Bowden G J, Barker P R, Shestopal V O, et al. The weibull distribution function and wind power statistics [J]. Wind Engineering, 1983, 7: 85-98.
21. Wang Haichao, Lu Zongxiang, Zhou Shuangxi. Research on the capacity credit of wind energy resources [J]. Proceedings of the CSEE, 2005, 25 (10): 103-106.
22. Ding Ming, Wu Yichun. Summary on studies of operation and planning of wind power generation system [J]. Power System Technology, 2003, 7 (3): 36-40.
23. Yang Xiuyuan, Xiao Yang, Chen Shuyong. Wind speed and generated power forcasting in wind farm [J]. Proceedings of the CSEE, 2005, 25 (11): 1-5.
24. Kennedy J, Eberhart R C. A discrete binary version of the particle swarm algorithm [C]. Proceedings of the Conference on System, Man and Cybernetics, Piscataway, 1997: 4104-4108.
25. Feng Qifeng, Li Yan. Research on the application of IPSO in engineering optimization problem [J]. Chinese Journal of Scientific Instrument, 2005, 26 (9): 984-987.