期刊文献+

基于改进蚁群算法的输电网络扩展规划 被引量:15

Transmission network expansion planning based on improved ant colony algorithm
在线阅读 下载PDF
导出
摘要 输电网络扩展规划问题是一个复杂的组合优化问题。蚁群算法是用于解决组合优化问题的一种高效的随机化内启发式全局搜索技术。文中结合单阶段输电网络扩展规划问题的特点,应用改进的蚁群算法来解决输电网络扩展规划问题,建立了相应的数学模型,并给出求解算法。2个算例系统的计算结果表明了这种方法可有效减小搜索空间,并具有计算速度快和收敛性好等优点。 Transmission network expansion planning(TNEP)is a complex combinatorial optimization problem.Although this problem has been extensively studied,it is still not well solved.In recent years,a new meta-heuristic method,ant colony algorithm,is emerging.It is highly efficient for quickly finding high quality solutions to combinatorial optimization problems.In this paper,an improved ant algorithm is introduced to the transmission network expansion planning,and the corresponding mathematical model,together with its solution algorithm,is also presented.The simulation results for two sample systems,although preliminary,show its advantage on computing speed and convergence.
出处 《中国电力》 CSCD 北大核心 2003年第12期49-52,共4页 Electric Power
关键词 输电网络 组合优化 蚁群算法 扩展规划 负荷预测 电源规划 电力系统 transmission network expansion planning improved ant colony algorithm convergence
  • 相关文献

参考文献4

二级参考文献15

  • 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
  • 2Liang Y C,Proc 1999 Congress on Evolutionary Computation,1999年,1478页
  • 3Yu Inkeun,Proc POWERCON'98 1998 International Conference on Power System Technology,1998年,552页
  • 4COLORNI A,DORIGO M,MANIEZZO V. Distibuted optimization by ant colonies[A]. Proceedings of ECAL91-European Conference on Artificial Life[C]. Paris ,France: Elsevier Publishing, 1991.134-142.
  • 5COLORNI A,DORIGO M,MANIEZZO V. An investigation of some properties of an "ant algorithm"[A]. Proceedings of the Parallel Problem Solving from Nature Conference (PPSN 92) [C]. Brussels, Belgium: Elsevier Publishing, 1992. 509- 520.
  • 6COLORNI A, DORIGO M, MANIEZZO V,et al. Ant system for job-shop scheduling [J]. Belgian Journal of Operations Research Statistics and Computer Science,1994,34(1 ): 39 - 53.
  • 7KEUN Y I, CHOU C S, SONG Y H. Application of the ant colony search algorithm to short-term generation scheduling problem of thermal units [A]. Proceedings POWERCON '98 [ C ]. [ s.l. ]: 1998 International Conference on Power System Technology, 1998. 552-556.
  • 8NARA K, SATUH T,AOKI K,et al. Multi-year expansion planning for distribution systems [J]. IEEE Trans. on Power Systems,1991,6(2): 952 - 958.
  • 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
  • 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

共引文献196

同被引文献176

引证文献15

二级引证文献131

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