Multi-agent particle swarm optimization algorithm for reactive power optimization

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 25, Issue 5, 2005, Pages 1-7

  Zhao, Bo ^a   Cao, Yi Jia ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Multi agent system; Particle swarm optimization; Power system; Reactive power optimization

Indexed keywords

COMPUTER SIMULATION; ELECTRIC POWER SYSTEMS; EVOLUTIONARY ALGORITHMS; MULTI AGENT SYSTEMS; OPTIMIZATION; VOLTAGE CONTROL;

OBJECTIVE FUNCTION; PARTICLE SWARM OPTIMIZATION;

REACTIVE POWER;

EID: 17244365075     PISSN: 02588013     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (15)

1. Mamandur K R C, Chenoweth R D. Optimal control of reactive power flow for improvements in voltage profiles for real power loss minimization [J]. IEEE Trans. on PAS, 1981, 100(7): 3185-3193.
2. Yan Wei, Sun Yujiang, Luo Chunlei el al. EP based on specialist experiences and its application to Var optimization[J]. Proceedings of the CSEE, 2003, 23(7): 76-80.
3. Lee K Y. Optimal reactive power planning using evolutionary programming, evolutionary strategy, genetic algorithm and linear programming [J]. IEEE Transactions on Power System, 1998, 13(1): 101-108.
4. Kennedy J, Eberhart R. Particle swarm optimization [C]. Proceedings of IEEE International Conference on Neural Networks, Perth, Australia, 1995, 4: 1942-1948.
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. Yuan Xiaohui, Wang Cheng, Zhang Yongchuan et al. A survey on application of particle swarm optimization to electric power systems [J]. Power System Technology, 2004, 28(19): 14-19.
7. Yu Xinmei, Li Yan, Xiong Xinyin et al. Optimal shunt capacitor placement using particle swarm optimization algorithm with harmonic distortion consideration [J]. Proceedings of the CSEE, 2003, 23(2): 26-31.
8. Ma Jintao, Lai L L, Yang Yihan. Application of genetic algorithms in reactive power optimization[J]. Proceedings of the CSEE, 1995, 15(5): 347-353.
9. Eberhart R C, Shi Y. Comparing inertia weights and constriction factors in particle swarm optimization[C]. Proceedings of the Congress on Evolutionary Computing, IEEE Service Center, California, USA, 2000: 84-88.
10. Liu Jiming, Jing Han, Tang Y Y. Multi-agent oriented constraint Satisfaction [J]. Artificial Intelligence, 2002, 136(1): 101-144.
11. Zhong Weicai, Liu Jin, Xue Mingzhi et al. A multiagent genetic algorithm for global numerical optimization[J]. IEEE Transactions on System, Man, and Cybernetics, 2004, 34(2): 1128-1141.
12. Kazarlis S A, Papadakis S E, Theocharis J B et al. Microgenetic algorithms as generalized hill-climbing operators for GA optimization [J]. IEEE Transactions on Evolutionary Computation, 2001, 5(7): 204-217.
13. Wu Q H, Cao Y J, Wen J Y. Optimal reactive power dispatch using an adaptive genetic algorithm[J]. Int. J. Electr Power and Energy Syst., 1998, 20(8): 563-569.
14. Lai L L, Ma Jintao. Application of evolutionary programming to reactive power planning-comparison with nonlinear programming approach[J]. IEEE Transactions on Power System, 1997, 12(1): 198-204.
15. Das D B, Patvardhan C. Reactive power dispatch with a hybrid stochastic search technique[J]. Int. J. Electr Power and Energy Syst, 2002, 24(9): 731-736.