期刊文献+

基于蚁群算法的配电网故障后恢复重构 被引量:5

Ant Colony Algorithm for Service Restoration Reconf iguration in Distribution Networks
下载PDF
导出
摘要 蚁群算法是一种求解组合优化问题的新型通用启发式方法,具有正反馈、并行计算和鲁棒性强等优点。将蚁群算法应用于配电网故障后恢复重构,提出了综合考虑切负荷最小和开关操作次数最少的恢复重构模型,并详细介绍了其求解过程。算例证明该算法在配电网故障后恢复重构中应用的可行性和有效性。 Ant colony algorithm is a new general-purpose heuristic algorithm for combinatorial optimization problems. The main characteristics of this method are positive feedback, distributed computation and the use of constructive greedy heuristic. Therefore, this method is applied to service restoration reconfiguration in distribution networks. A service restoration model for reconfiguration in which the unrestored load minimization and the number of switching operations minimization are taken into account simultaneously is proposed, and the implementation process is described in detail. Sample test shows that the ant colony algorithm can solve the proposed model feasibly and effectively.
出处 《电气应用》 北大核心 2007年第9期41-44,共4页 Electrotechnical Application
基金 河南省教育厅自然科学基金 河南省科技攻关项目(0324250075)。
关键词 配电网 恢复重构 蚁群算法 distribution networks service restoration reconfiguration ant colony algorithm
  • 相关文献

参考文献11

二级参考文献21

  • 1康庆平,周雷.一个实用的配电网优化规划方法[J].电网技术,1994,18(6):39-43. 被引量:40
  • 2原河峰,杨丽徙,章健.以最优化理论进行农村电网规划(一)[J].农村电气化,1994(6):2-4. 被引量:5
  • 3王秀丽,王锡凡.遗传算法在输电系统规划中的应用[J].西安交通大学学报,1995,29(8):1-9. 被引量:61
  • 4葛朝强.配电网络故障恢复模型和算法的研究[M].南京:东南大学,1999.. 被引量:1
  • 5Jonnavuthula S, Billinton R. Minimum Cost Analysis of Feeder Routing in Distribution System Planning[J]. IEEE Trans on Power Delivery, 1996, 11(4):1935-1940. 被引量:1
  • 6Binato S, Lizardo J. Greedy Randomized Adaptive Search Procedure for Transmission Expansion Planning[J]. IEEE Trans on Power Systems, 2001, 16(2): 247-253. 被引量:1
  • 7Dorigo M, Maniezzo V, Colorni A. The Ant System: Optimization by a Colony of Cooperating Agents[J]. IEEE Trans on Systems, Man, and Cybernetics-Part B, 1996, 26 (3):1-13. 被引量:1
  • 8Dorigo M, Gambardella L M. Ant Colony System: A Cooperative Learning Approach to the Traveling Salesman Problem[J].IEEE Trans on Evolutionary Computation, 1997, 1(1): 53-66. 被引量:1
  • 9Marco Dorigo,Vittorio Maniezzo,Alberto Colorni.The Ant System:Optimization by a colony of cooperating agents.IEEE Trans on Systems,man,and Cybernetics-Part B,1996,26(3):1~13 被引量:1
  • 10Marco Dorigy,Luca Maria Gambardella.Ant Colony System:A Cooperative Learning Approach to the Traveling Salesman Problem.IEEE Trans on Evolutionary Computation,1997,1(1):53~66 被引量:1

共引文献132

同被引文献57

引证文献5

二级引证文献70

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部