东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (8): 843-846.DOI: -

• 论著 • 上一篇    下一篇

基于混合粒子群优化的电网优化规划

任苹;高立群;王珂;李楠;   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院;沈阳大学科技处 辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110004;辽宁沈阳110044
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-08-15 发布日期:2013-06-23
  • 通讯作者: Ren, P.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60274009)

Transmission network optimization planning based on hybrid PSO

Ren, Ping (1); Gao, Li-Qun (1); Wang, Ke (1); Li, Nan (2)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Department of Science and Technology, Shenyang University, Shenyang 110044, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-08-15 Published:2013-06-23
  • Contact: Ren, P.
  • About author:-
  • Supported by:
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摘要： 在电网规划优化过程中,考虑了投资费用、可靠性和对环境的影响等三个因素.首次将粒子群优化(PSO)技术引入电网优化规划,克服了传统优化方法易陷入局部最优和维数灾难等弊端.通过一个工程实例验证了该算法的可行性和有效性.同时,与现存的电网规划方法相比,粒子群优化方法的搜索时间短而且优化结果更接近最优解.

关键词: 多目标优化, 电网规划, 粒子群优化, 惩罚函数

Abstract: During the optimization of transmission network planning which is regarded as a problem of multi-objective mathematical optimization, the three influencing factors are taken into account, i.e., investment cost, reliability and its effect on environment. To overcome the drawbacks of conventional mathematical optimization, such as local optimization and dimension disasters, the particle swarm optimization (PSO) is firstly introduced into the optimization of transmission network planning, and an optimal scheme is thus formulated. With a practical project exemplified, the PSO shows its methodological feasibility and efficiency. Compared with the existing planning methods, PSO provides the advantage of shorter time in searching and results in a solution closer to the optimum one.

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