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基于改进蚁群算法的输电网络扩展规划
引用本文:翟海保,程浩忠,陈春霖,江峰青,房领峰.基于改进蚁群算法的输电网络扩展规划[J].中国电力,2003,36(12):49-52.
作者姓名:翟海保  程浩忠  陈春霖  江峰青  房领峰
作者单位:1. 上海交通大学,电气工程系,上海,200030
2. 上海市电力公司,发展计划部,上海,200002
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。

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
文章编号:1004-9649(2003)12-0049-04
修稿时间:2003年4月26日

Transmission network expansion planning based on improved ant colony algorithm
ZHAI Hai-bao ,CHENG Hao-zhong ,CHEN Chun-lin ,JIANG Feng-qing ,FANG Ling-feng.Transmission network expansion planning based on improved ant colony algorithm[J].Electric Power,2003,36(12):49-52.
Authors:ZHAI Hai-bao  CHENG Hao-zhong  CHEN Chun-lin  JIANG Feng-qing  FANG Ling-feng
Affiliation:ZHAI Hai-bao 1,CHENG Hao-zhong 1,CHEN Chun-lin 2,JIANG Feng-qing 2,FANG Ling-feng 2
Abstract: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.
Keywords:transmission network  expansion planning  improved ant colony algorithm  convergence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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