Open AccessOptimal configuration of distributed power sources based on Fruit Fly optimization algorithm
Author(s) -
Linfeng Hu,
Liang Lu,
Tianyu Li
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/714/4/042062
Subject(s) - node (physics) , mathematical optimization , computer science , chaotic , power (physics) , population , fuzzy logic , optimization algorithm , rationality , sequence (biology) , algorithm , mathematics , engineering , artificial intelligence , physics , demography , structural engineering , quantum mechanics , sociology , biology , law , political science , genetics
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.