Open AccessOptimal economic dispatching of multi‐microgrids by an improved genetic algorithm
Author(s) -
Jiang Haoyu,
Ning Shiyuan,
Ge Quanbo,
Yun Wang,
Xu JinQiang,
Bin Yu
Publication year - 2021
Publication title -
iet cyber‐systems and robotics
Language(s) - English
Resource type - Journals
ISSN - 2631-6315
DOI - 10.1049/csy2.12008
Subject(s) - microgrid , complementarity (molecular biology) , genetic algorithm , mathematical optimization , computer science , economic dispatch , scheme (mathematics) , electric power system , power (physics) , mathematics , control (management) , artificial intelligence , mathematical analysis , genetics , physics , quantum mechanics , biology
A multi‐microgrid economic dispatching strategy based on adaptive mutation genetic algorithm is proposed for multi‐microgrid systems with different load types and power demands. Based on the analysis of industrial, residential and commercial loads, considering the synergy and complementarity between multi‐microgrids, an optimal dispatching model of multi‐microgrids based on the minimum operation cost and environmental protection cost of multi‐microgrids is established from the point of view of environmental protection and economy. At the same time, an adaptive mutation genetic algorithm is proposed to optimize the system model and find the optimal economic dispatching scheme.