您现在的位置:网站首页答辩论文理学论文数学论文

论文-基于广义蚁群算法的电力系统经济负荷分配

  • 简介: 原文 摘 要:提出了一种可用于求解一般形式的非凸、非线性约束优化问题的广义蚁群算法, 以用于求解复杂的非凸、非线性电力系统经济负荷分配问题。与用于组合优化的蚁群算法类似,该算法运用了正反馈、分布式计算和贪婪式启发搜索。基于不动点理...
    • 请与管理员联系购买资料 QQ:5739126
  • 论文简介
  • 相关论文
  • 论文下载
原文

摘 要:提出了一种可用于求解一般形式的非凸、非线性约束优化问题的广义蚁群算法, 以用于求解复杂的非凸、非线性电力系统经济负荷分配问题。与用于组合优化的蚁群算法类似,该算法运用了正反馈、分布式计算和贪婪式启发搜索。基于不动点理论,给出了该算法收敛的充分条件。多个算例结果表明,文中提出的算法是有效可行的。


  目录

1 引言
2 电力系统经济负荷分配的数学模型
3 广义蚁群算法
4 算例
5 讨论
6 结论


  参考资料

[1] Rabin A Jabr, Alun H Coonick, Brian J Cory. A homogenous linear programming algorithm for the security constrained economic dispatch problem[J]. IEEE Trans on PS,2000,15(3):930-936.
[2] Fan Jiyuan, Zhang Lan. Real-time economic dispatch with line flow and emission constrains using quadratic programming[J]. IEEE Trans on PS,1998,13(2):320-325.
[3] Nanda J, Hari Lakshman, Kothari M L.Economic emission load dispatch with line flow constrains using a classical technique[J].IEE Proc-Gener. Transm. Distrib, 1994, 141(1):1-10.
[4] Ross D W, Kim S. Dynamic economic dispatch of generation[J]. IEEE Trans on PAS. 1980(99):2060-2068.
[5] 王剑奇,张伯明,赵子臣(Wang Jianqi,Zhang Boming, Zhao Zichen).动态比较法确定机组的最优组合(Optimal generation unit commitment by dynamic comparing) [J].中国电机工程学报(Proceedings of the CSEE),1996,16(4):254-256.
[6] David C Walters, Gerald B Sheble. Genetic algorithm solution of economic dispatch with valve point loading[J]. IEEE Trans on PS,1993,8(3):1325-1332 .
[7] Gerald B Sheble, Kristin Britting. Refine genetic algorithm-economic dispatch example[J]. IEEE Trans on PS,1995,10(1):117-123.
[8] Yalcinoz T, Short M J. Neural networks approach for solving economic dispatch problem with transmission capacity constraints[J]. IEEE Trans on PS,1998,13(2):307-313.
[9] 唐巍,李殿璞(Tang Wei, Li Dianpu).电力系统经济负荷分配的混沌优化方法(Chaotic optimization for economic dispatch of power systems) [J].中国电机工程学报(Proceedings of the CSEE),2000, 20(10):36-40.
[10] Lin Wheimin, Cheng Fusheng, Tsay Mingtong. Nonconvex economic dispatch by integrated artificial intelligence[J]. IEEE Trans on PS,2001, 16(2):307-311.
[11] 陈皓勇,张靠社,王锡凡(Chen Haoyong, Zhang Kaoshe, Wang XiFan).电力系统机组组合问题的系统进化算法(Evolutionary optimization method of power system unit commitment problem) [J].中国电机工程学报(Proceedings of the CSEE),1999,19(12):9-13.
[12] Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Trans on Systems, man, and Cybernetics-Part B:Cybernetics, 1996,26(1):29-41.
[13] Dorigo M, Caro G D. Ant colony optimization: a new meta-heuristic[C]. Proceeding of the 1999 Congress on Evolutionary Computation, Washington, DC:USA 1999:1470-1477.
[14] Lee S G, Jung T U, Chung T C. An effective dynamic weighted rule for ant colony system optimization[C]. Proceeding of the 2001 Congress on Evolutionary Computation, Seoul:South Korea 2001:1393-1397..

查看评论 已有0位网友发表了看法
  • 验证码: