基于改进灰狼算法的分布式电源优化配置  

Distributed Power Optimization Configuration Based onImproved Grey Wolf Algorithm

作　　者：郑权 杨淑婷 ZHENG Quan;YANG Shu-ting(Huangshi Power Supply Company,State Grid Hubei Electric Power Co.,Ltd.,Huangshi 448000,China)

机构地区：[1]国网湖北省电力有限公司黄石供电公司,湖北黄石435000

出　　处：《电气开关》2025年第2期41-45,共5页Electric Switchgear

摘　　要：为了降低含DG配电网的经济成本,提高其稳定性,提出了一种基于改进灰狼算法的分布式电源优化配置方法。以配电网经济成本最小为目标函数建立了DG配置模型,利用种群混沌初始化和非线性控制收敛系数两种方法对GWO算法进行改进,提高了IGWO算法寻优性能和收敛精度。采用IGWO算法对DG配置模型进行求解,算例分析结果表明,DG接入前、后的系统网损和经济成本分别降低59.99%和15.18%,系统经济性的稳定性更好,验证了所提DG优化配置方法的有效性。In order to reduce the economic cost and improve the stability of DG containing distribution networks,this paper proposes a distributed power optimization configuration method based on the improved grey wolf algorithm.A DG configuration model is established with the objective function of minimizing the economic cost of the distribution network.The GWO algorithm is improves using two methods:population chaos initialization and nonlinear control convergence coefficient,which improves the optimization performance and convergence accuracy of the IGWO algorithm.The IGWO algorithm is used to solve the DG configuration model.The example analysis results showes that the system network loss and economic cost before and after DG access are reduced by 59.99%and 15.18%,respectively.The stability of system economy was better,verifying the effectiveness of the proposed DG optimization configuration method.

关 键 词：分布式电源 配置 改进灰狼算法 经济成本 

分 类 号：TM72[电气工程—电力系统及自动化]