中国电机工程学报Issue(34)：6150-6158,9.DOI:10.13334/j.0258-8013.pcsee.2014.34.017
基于Mayeda生成树实用算法与粒子群算法的配电网络重构
Mayeda Spanning Tree Practical Method Combined With Particle Swarm Algorithm Based Distribution system Reconfiguration
林济铿 1刘阳升 1潘毅 2潘光 3张辉 4戴赛2
作者信息
- 1. 同济大学电子与信息工程学院，上海市 嘉定区 201804
- 2. 中国电力科学研究院，北京市 海淀区 100192
- 3. 国网天津市电力公司经济技术研究院 天津市 河东区 300171
- 4. 智能电网教育部重点实验室 天津大学，天津市 南开区 300072
- 折叠
摘要
Abstract
With the development of smart grid, network reconfiguration becomes more and more important due to its crucial function in distribution automation. Considering the drawback of slow computational speed when stochastic optimization algorithms were applied to distribution network reconfiguration, a new coding strategy was proposed based on Mayeda spanning tree practical method combined with particle swarm optimization (PSO). With the new encoding method, the solution space of stochastic evolutionary optimization was limited within the feasible topology solution space and the radial topology detection procedure was avoided, and thus the evolution process was speeded up. Meanwhile, since the uniqueness of all trees built by the new coding method (means different branch exchanges consequentially generate different trees), any feasible solution in original network topology corresponded to a unique continuous code space, thus the shortcomings of high repetition coding rate were overcome and high evolution efficiency was maintained. Numerical examples verified the effectiveness of the proposed method, and with increase of system scale, its advantages were more obvious.关键词
配网重构/Mayeda生成树/编码解码/随机优化Key words
distribution system reconfiguration/Mayeda spanning tree/encoding and decoding/stochastic optimization分类
信息技术与安全科学引用本文复制引用
林济铿,刘阳升,潘毅,潘光,张辉,戴赛..基于Mayeda生成树实用算法与粒子群算法的配电网络重构[J].中国电机工程学报,2014,(34):6150-6158,9.
