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基于协同粒子群优化算法的输电网络扩展规划

邬开俊 鲁怀伟

计算机应用研究2011,Vol.28Issue(3):862-864,3.
计算机应用研究2011,Vol.28Issue(3):862-864,3.DOI:10.3969/j.issn.1001-3695.2011.03.018

基于协同粒子群优化算法的输电网络扩展规划

Transmission network expansion planning based on collaborative particle swarm optimization

邬开俊 1鲁怀伟2

作者信息

  • 1. 兰州交通大学,电子与信息工程学院,兰州,730070
  • 2. 兰州交通大学,数理与软件工程学院,兰州,730070
  • 折叠

摘要

Abstract

Transmission network expansion planning (TNEP) is a complex multivariate constrained nonlinear integer optimization problems.In order to overcome PSO' s easy to get into local optimum area and slow astringe, investigated an algorithm of collaborative particle swarm optimization to solve transmission network expansion planning by combining the idea of cooperative coevolution and particle swarm optimization.Established the mathematic mode which minimized annual expenditure and developed the solution algorithm.The algorithm has been successful applied to a 10-node system and a 22-node system, and the simulation results demonstrate the feasibility and efficiency of the method in TNEP.

关键词

输电网络扩展规划/协同进化/粒子群优化算法/辐射性

分类

信息技术与安全科学

引用本文复制引用

邬开俊,鲁怀伟..基于协同粒子群优化算法的输电网络扩展规划[J].计算机应用研究,2011,28(3):862-864,3.

基金项目

国家自然科学基金资助项目(10972095) (10972095)

甘肃省自然科学基金资助项目(2008GS02601) (2008GS02601)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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