基于改进NSGA2算法的配电网分布式电源优化配置

Optimal configuration of distributed power generation in distribution network based on improved NSGA2 algorithm

基于NSGA2算法存在收敛性和分布均匀性不足的问题,文中研究了一种改进的NSGA2算法,该算法使用算术交叉算子和精英交叉策略,并引入了伪适应度值的概念。同时,为更好地研究分布式电源选址定容问题,文中建立了以有功网损和节点电压偏移为目标的分布式电源选址定容模型,并用改进算法对该模型进行求解,最后在MATLAB软件下以IEEE-33节点系统为例进行测试,仿真结果与传统的NSGA2算法进行比较,证明了该方法在分布式电源优化配置方面的有效性和优越性。

Based on the problem of insufficient convergence and uniformity of distribution of NSGA2 algorithm,an improved NSGA2 algorithm is raised in this paper,which uses arithmetic crossover operator and elite crossover strategy,and introduces the concept of pseudo fitness value.At the same time,in order to better study the distributed generation location and capacity,the paper establishes a distributed power generation location and capacity model targeting active network loss and node voltage offset,and uses an improved algorithm to make model solution.Finally,The IEEE-33 node system is used as an example to test under MATLAB software.The simulation result,proves the effectiveness and superiority of the method in terms of the optimization configuration of distributed power sources compared with the traditional NSGA2 algorithm.