基于改进遗传算法的配电网重构研究
投稿时间:2018-08-21  修订日期:2018-09-07  点此下载全文
引用本文:
摘要点击次数: 137
全文下载次数: 0
作者单位邮编
王健* 国网江苏省电力公司泰州供电分公司 225300
贾俊 国网江苏省电力公司泰州供电分公司 
李然 江苏安方电力科技有限公司 
黄文静 江苏安方电力科技有限公司 
中文摘要:为了获取配电网中支路电流并尽可能的降低系统的功率损耗,本文提出了一种基于改进遗传算法的配电网重构方法,建立了以系统功率损耗最小化为目标的配电网重构模型,结合辐射型配电网潮流计算分支电流,并对遗传算法的染色体编码,适应度函数和交叉变异模式进行了改进,避免了计算结果的早熟收敛。结合IEEE-16和IEEE-33的配电网系统进行测试,验证了所提改进遗传算法在配电网重构优化的有效性。
中文关键词:系统优化  人工智能  遗传算法  配电网重构
 
Research on distribution network reconfiguration based on Improved Genetic Algorithm
Abstract:In order to obtain branch current in distribution network and reduce power loss as much as possible, this paper presents a reconfiguration method of distribution network based on improved genetic algorithm, establishes a reconfiguration model of distribution network with the objective of minimizing system power loss, and calculates branch current with radial distribution network power flow. Chromosome coding, fitness function and cross variation mode were improved to avoid premature convergence of the calculation results. The validity of the improved genetic algorithm is verified by testing the distribution network system of IEEE-16 and IEEE-33.
keywords:system optimization  artificial intelligence  genetic algorithm  distribution network reconfiguration
查看全文   查看/发表评论   下载pdf阅读器