摘要
考虑含分布式电源配电网的特点,为实现无功优化的目标,在免疫算法的基础上,提出一种改进免疫算法。该算法结合免疫克隆原理,将待求问题作为抗原,把其解作为抗体。在抗体的优化过程中,基于中心个体的划分聚类算法对抗体进行聚类,再对聚类后的抗体竞争克隆,构建小局域中优秀抗体聚类群,引入自适应算子对抗体群进行动态调整,以便能生成全局最优解。以16节点系统进行仿真分析,结果表明该算法具有可行性,能够有效地降低网损。
Considering characteristics of distributed generation power distribution network,this paper has proposed a kind of improved immune algorithm based on immune algorithm to achieve the target of reactive power optimization.This algorithm has combined the principle of immune clone,taking problems to be solved as antigen and taking the solution as antibody.In the process of antibody optimization,this paper has clustered the antibody on the basis of partitioning clustering algorithm of individuals in the center,and then cloned antibody competition after cluster,construct excellent antibody cluster group within the little local area,introduced self-adaptive operator for dynamic adjustment of antibody group,so as to generate globally optimal solution.This paper has conducted simulated analysis with 16 node system,and the result indicates that the algorithm is feasible and can reduce transmission losses effectively.
作者
孙振
蒋天赐
SUN Zhen;JIANG Tianci(College of Electrical and Information Engineering, Anhui University of Science & Technology,Huainan 232000, China;State Grid Anhui Electric Power Co. ,Ltd.Linquan Power Supply Company, Fuyang 236400, China)
出处
《国网技术学院学报》
2019年第1期7-11,共5页
Journal of State Grid Technology College
关键词
分布式电源
配电网
无功优化
改进免疫算法
distributed power supply
distribution network
reactive power optimization
improved immune algorithm
