基于粒子群优化算法的电力网络节点编号技术

作者：王明敏，王建全 日期：2008-08-18/span> 浏览：3285 查看PDF文档

基于粒子群优化算法的电力网络节点编号技术

王明敏，王建全
（浙江大学 电气工程学院，浙江 杭州 310027）

摘要：对于大规模电网，目前常用的网络节点编号算法还有待进一步改进。针对此现状，提出了基于粒子群优化的网络节点编号优化算法，通过IEEE118和IEEE300节点算例进行了计算,并与现有的节点编号方法比较，证明了该算法的有效性。研究结果表明，该方法具有广阔的推广应用前景。
关键词：节点编号；粒子群优化算法；稀疏技术；电力系统计算
中图分类号：TP301.6文献标识码：A文章编号：1001-4551(2008)08-0087-03

Power network node ordering technology basd on particle swarm optimization
WANG Ming-min, WANG Jian-quan
（College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China）
Abstract: The node ordering algorithms in common need to further improve, in large scale power grid. Aiming at the problem, a new method of node ordering technology based on particle swarm optimization(PSO) was proposed. The calculation was done, by IEEE 118 and IEEE 300 systems. Compared with existing node ordering technology, its efficiency was demonstrated. The experimental results show that it illustrates a good prospect of application and extension.
Key words: node ordering； particle swarm optimization（PSO）； parsity technology； power system calculation