基于改进非支配排序遗传算法的配电网动态重构

Dynamic Reconfiguration of Distribution Network Based on Improved NSGA-Ⅱ

针对分布式电源大规模接入配电网情况下配电网的动态重构问题,提出一种基于改进非支配排序遗传算法(non-dominated sorting genetic algorithmsⅡ,NSGA-Ⅱ)的配电网动态重构策略。首先,以系统运行成本和电压偏移最小为目标建立配电网动态重构模型。其次,结合参数自适应策略和基于可行解优越性的约束处理技术提出NSGA-Ⅱ改进算法对模型进行求解。再次,用超体积(hypervolume)指标选择最佳的帕累托解集,并通过模糊决策技术从帕累托解集中选择最佳方案。最后,以IEEE 33节点系统为例进行仿真。结果表明:该模型可以在降低系统运行成本的同时提高系统电能质量。

Aiming at the problem of dynamic reconfiguration of distribution network when distributed power is connected to distribution network on a large scale,a dynamic reconfiguration strategy of distribution network was proposed based on improved non-dominated sorting genetic algorithmsⅡ(NSGA-II).Firstly,the dynamic reconfiguration model of distribution network was established based on the minimum operating cost and voltage offset.Secondly,combined with parameter adaptive strategy and constraint processing technology based on the superiority of feasible solution,improved NSGA-II was proposed to solve the model.Thirdly,the hypervolume index was used to select the best Pareto solution set,and the best scheme was selected from the Pareto solution set by fuzzy decision technology.Finally,a simulation of IEEE 33 node system was carried out.The results show that the model can improve the power quality while reducing the operating cost of the system.