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Research of Rural Power Network Reactive Power Optimization Based on Improved ACOA

Research of Rural Power Network Reactive Power Optimization Based on Improved ACOA
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摘要 In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable. In view of the serious reactive power loss in the rural network, improved ant colony optimization algorithm （ACOA） was used to optimize the reactive power compensation for the rural distribution system. In this study, the traditional ACOA was improved in two aspects： one was the local search strategy, and the other was pheromone mutation and re-initialization strategies. The reactive power optimization for a county＇s distribution network showed that the improved ACOA was practicable.
作者 YU Qian ZHAO Yulin WANG Xintao
机构地区 Engineering College Electric Power Design Institute
出处 《Journal of Northeast Agricultural University(English Edition)》 CAS 2010年第3期48-52,共5页 东北农业大学学报（英文版）
基金 Supported by China Postdoctoral Science Foundation(20090460873)
关键词 rural power network reactive power optimization ant colony optimization algorithm local search strategy pheromone mutation and re-initialization strategy rural power network, reactive power optimization, ant colony optimization algorithm, local search strategy, pheromone mutation and re-initialization strategy
分类号 S828.91 [农业科学—畜牧学]
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参考文献11

  • 1Dorigo M,Stutzle T.Ant colony optimization[M].Beijing:Tsinghua University Press,2007:68-77.
  • 2Li J,Li J R,Liu L.Summarize of reactive power optimization model and algorithm in electric power system[J].China Electric Power Education,2007,SI:56-62.
  • 3余健明,张栋,姚李孝.基于一种新待补偿点定位法的配电网络无功优化[J].电网技术,2004,28(1):67-70. 被引量：35
  • 4段海滨,王道波.一种快速全局优化的改进蚁群算法及仿真[J].信息与控制,2004,33(2):241-244. 被引量：57
  • 5Blum C,Dorigo M.Search bias in ant colony optimization:on the role of competition-balanced systems[J].IEEE Trans on Evolutionary Computation,2005,9(2):159-174.
  • 6赵文彬,孙志毅,李虹.一种求解TSP问题的相遇蚁群算法[J].计算机工程,2004,30(12):136-137. 被引量：10
  • 7Gallardo A,Lowther D.A.Some aspects of niching genetic algorithms applied to electromagnetic device optimization[J].IEEE Transaction on Magnetic,2000,36(4):106-107.
  • 8刘蔚,韩祯祥.配电网无功补偿的动态优化算法[J].中国电机工程学报,2006,26(10):79-85. 被引量：27
  • 9Jun B,Fu M Y,Zhang Y H,et al.A self-adaptive ant colony algorithm for the shortest path[J].IEEE,2002(1):144.
  • 10Stutzle T,Dorigo M.A short convergence proof for a class of ant colony optimization algorithms[J].IEEE Transactions on Evolutionary Computation,2002,6(4):358-365.

二级参考文献42

  • 1周任军,段献忠,周晖.计及调控成本和次数的配电网无功优化策略[J].中国电机工程学报,2005,25(9):23-28. 被引量：58
  • 2杨银国,张伏生,贺春光,王春娟,李宁.基于主动禁忌搜索的配电网无功电压优化控制[J].西安交通大学学报,2005,39(8):895-899. 被引量：13
  • 3邓佑满,张伯明,相年德.配电网络电容器实时优化投切的逐次线性整数规划法[J].中国电机工程学报,1995,15(6):375-383. 被引量：45
  • 4邓佑满,张伯明,田田.虚拟负荷法及其在配电网络动态优化中的应用[J].中国电机工程学报,1996,16(4):241-244. 被引量：45
  • 5Colorni A, Dorigo M, Maniezzo V, et al. Distributed optimization by ant colonies [ A]. Proceedings of ECAL91 ( European Conference on Artificial Life) [ C ]. Paris, France : 1991.134 - 142.
  • 6Dorigo M, Maniezzo V, Colomi A. The ant system:optimization by a colony of cooperating agents [ J]. IEEE Transactions on Systems, Man, and Cybernetics - Part B, 1996, 26( 1 ) : 29-41.
  • 7Verbeeck K, Nowe A. Colonies of learning automata [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B, 2002,32(6) : 772 -780.
  • 8Montgomery J, Randall M. Anti-pheromone as a tool for better exploration of search space [A]. Proceedings of Third International Workshop ANTS [C]. Brussels, Belgium:2002. 100 - 110.
  • 9Bonabeau E, Dorigo M, Theraulaz G. Inspiration for optimization from social insect behaviour [J]. Nature, 2000, 406(6) :39-42.
  • 10Dorigo M, Gambardella L M. Solving symmetric and asym-metric TSPs by ant colonies [ A ]. Proceedings of the IEEE Conference on Evolutionary Computation [ C ]. Nagoya, Japan : 1996. 622-627.

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Journal of Northeast Agricultural University(English Edition)
2010年 第3期

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