Optimal configuration of distributed power sources based on Fruit Fly optimization algorithm

Abstract

Based on the fuzzy membership technology to optimize the configuration of distributed generation access to the distribution network, a multi-objective optimization model is established that comprehensively considers the investment benefits of DG, polluting gas emissions and voltage quality. The chaotic sequence of Tent mapping is quoted in the fruit fly optimization algorithm (FOA) to improve it, increase the diversity of the population, and reduce the possibility of the algorithm falling into a local optimum. The simulation results of the PG&E33 node system verify the effectiveness and rationality of the model and the improved algorithm.