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基于免疫遗传算法的含分布式电源配网规划
引用本文:戴小庞,周洪,海晓涛.基于免疫遗传算法的含分布式电源配网规划[J].湖南电力,2011(6):10-13.
作者姓名:戴小庞  周洪  海晓涛
作者单位:河源源城供电公司;湖南省电力勘测设计院;中国电力科学研究院
摘    要:大量分布式电源的接入使配电网规划更加复杂.在限制分布式电源接入总量和考虑多种约束的基础上,建立以配网年费用最小为目标函数的规划模型.针对该模型的特点,采用一种新型免疫遗传算法( IGA)对配电网扩展规划进行优化.该算法综合了免疫系统和遗传算法的优点,可实现群体收敛性和个体多样性间的动态平衡,具有良好的全局收敛能力.分别...

关 键 词:分布式电源  配电网  扩展规划  免疫遗传算法

Distribution network planning with distributed generation based on immune genetic algorithm
DAI Xiao-pang,ZHOU Hong,HAI Xiao-tao.Distribution network planning with distributed generation based on immune genetic algorithm[J].Hunan Electric Power,2011(6):10-13.
Authors:DAI Xiao-pang  ZHOU Hong  HAI Xiao-tao
Affiliation:1.Heyuan Yuancheng Power Supply Company,Heyuan 517000,China;2.Hunan Eectric Power Designing Institute,Changsha 410007,China;3.China Electric Power Research Institute,Beijing 100192,China)
Abstract:With the increasing of distributed generation,distribution network planning has become more complex.The planning model of minimizing the annual cost is built with limiting DG capacity and many constraints.A new immune genetic algorithm(IGA) is proposed for this model,which combines the advantages of immune system and genetic algorithm.This algorithm keeps individual diversity and has good global convergence.Both genetic algorithm and immune genetic algorithm are used for planning the distribution network with DG.The results show IGA is superior to genetic algorithm and the planning with DG is proved to be more economical.
Keywords:distributed generation(DG)  distribution network  expansion planning  immune genetic algorithm
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