基于免疫遗传算法的含分布式电源配网规划  

Distribution network planning with distributed generation based on immune genetic algorithm

作　　者：戴小庞 周洪 海晓涛[3] 

机构地区：[1]河源源城供电公司,广东河源517000 [2]湖南省电力勘测设计院,湖南长沙410007 [3]中国电力科学研究院,北京100192

出　　处：《湖南电力》2011年第6期10-13,共4页Hunan Electric Power

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。分别采用简单遗传算法和免疫遗传算法对某含DG配网进行优化规划,验证了所提出免疫遗传算法的优越性;通过与无DG配网规划方案比较,验证了含DG规划方案的经济性。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.

关 键 词：分布式电源 配电网 扩展规划 免疫遗传算法 

分 类 号：TM74[电气工程—电力系统及自动化]