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基于粒子群算法的梯级电站日优化调度 被引量:2

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摘要 采用粒子群智能优化算法,可避免多梯级水电站系统优化模型所产生的"维数灾",能实现对梯级电站日优化调度模型的有效求解,从而得到梯级电站日优化调度方案,该方案可作为梯级电站联合竞价上网的参考依据,也可作为水库调度运行方式的参考,有助于梯级电站实现整体的发电效益最大化。
出处 《四川水力发电》 2010年第6期230-233,237,共5页 Sichuan Hydropower
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参考文献8

  • 1周晓阳,张勇传,马寅午.水库系统的辨识型优化调度方法[J].水力发电学报,2000,19(2):74-86. 被引量:9
  • 2Kennedy J, Eberhart R C. Particle Swarm Optimization [A]. IEEE International Conf. on Neural Networks [C]. Perth, Australia: IEEE, 1995 : 1942 - 1948. 被引量:1
  • 3谢晓锋,张文俊,杨之廉.微粒群算法综述[J].控制与决策,2003,18(2):129-134. 被引量:421
  • 4李爱国.多粒子群协同优化算法[J].复旦学报(自然科学版),2004,43(5):923-925. 被引量:398
  • 5Van den Bergh F. An analysis of particle swarm optimizers [ D ]. South Africa: Department of ComputerSeience, University of Pretoria,2002. 被引量:1
  • 6Deb K. An efficient constraint handling method for genetic algorithms. Computer Methods in Applied Mechanics and Engineering, 2000, 186(2): 311 -338. 被引量:1
  • 7Joines J, Houck C. On the use of non - stationary penalty functions to solve nonlinear constrained optimization problems with Gas. Proc. of the 1st Conference on Evolutionary Computation. IEEE, 1994. 579 - 584. 被引量:1
  • 8Richard Y, Fung K,TANG J F. Extension of a hybrid genetic algorithm for nonlinear programming problems with equality and inequality constraints. Computers & Operations Research, 2002, 29:261 - 274. 被引量:1

二级参考文献46

  • 1[31]Eberhart R, Hu Xiaohui. Human tremor analysis using particle swarm optimization[A]. Proc of the Congress on Evolutionary Computation[C].Washington,1999.1927-1930. 被引量:1
  • 2[32]Yoshida H, Kawata K, Fukuyama Y, et al. A particle swarm optimization for reactive power and voltage control considering voltage security assessment[J]. Trans of the Institute of Electrical Engineers ofJapan,1999,119-B(12):1462-1469. 被引量:1
  • 3[33]Eberhart R, Shi Yuhui. Tracking and optimizing dynamic systems with particle swarms[A]. Proc IEEE Int Conf on Evolutionary Computation[C].Hawaii,2001.94-100. 被引量:1
  • 4[34]Prigogine I. Order through Fluctuation: Self-organization and Social System[M]. London: Addison-Wesley,1976. 被引量:1
  • 5[1]Kennedy J, Eberhart R. Particle swarm optimization[A]. Proc IEEE Int Conf on Neural Networks[C].Perth,1995.1942-1948. 被引量:1
  • 6[2]Eberhart R, Kennedy J. A new optimizer using particle swarm theory[A]. Proc 6th Int Symposium on Micro Machine and Human Science[C].Nagoya,1995.39-43. 被引量:1
  • 7[3]Millonas M M. Swarms Phase Transition and Collective Intelligence[M]. MA: Addison Wesley, 1994. 被引量:1
  • 8[4]Wilson E O. Sociobiology: The New Synthesis[M]. MA: Belknap Press,1975. 被引量:1
  • 9[5]Shi Yuhui, Eberhart R. A modified particle swarm optimizer[A]. Proc IEEE Int Conf on Evolutionary Computation[C].Anchorage,1998.69-73. 被引量:1
  • 10[6]Kennedy J. The particle swarm: Social adaptation of knowledge[A]. Proc IEEE Int Conf on Evolutionary Computation[C].Indiamapolis,1997.303-308. 被引量:1

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