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Static Reconstruction Method of NSGA-II Distribution Network Based on Basic Ring

With the rapid development of distributed energy (DG), a large amount of distributed energy is connected to the distribution network, and the optimization indexes of distribution network are developing from single to multiple. In this paper, an elitist-strategy non-dominated fast genetic algorithm (NSGA-ii) based on basic ring theory is proposed for multi-objective optimization, which has a wide solution space and strong searching ability. A high quality Pareto solution set is obtained by optimizing IEEE33 network system connected to distributed energy (DG). Finally, some objective functions are converted into economic indexes by fuzzy decision method, and the optimal adjustment and settlement are selected from Pareto solution set.