Optimal Operation of Residential Microgrids Based on a Robust Model Using Information Gap Decision Theory

Abstract

ObjectivesResidential microgrids are an important part of the new-type power system, and their optimal operation is crucial for improving the utilization efficiency of renewable energy and reducing system operating costs. However, the strong uncertainties in the output of distributed power sources such as photovoltaics, as well as in loads, pose significant challenges to the optimal operation of residential microgrids. Therefore, a robust optimal operation model based on information gap decision theory (IGDT) is proposed.MethodsFirstly, by fully considering the influence of time-of-use electricity prices, an optimal operation model for grid-connected residential microgrids is established with the objective of minimizing user costs. Then, on the basis of this model, a robust optimal operation model based on IGDT is established by comprehensively considering the influence of uncertain factors such as photovoltaic output, load, and electric vehicle charging on the optimal operation of residential microgrids. Finally, a hierarchical sequencing method combined with the entropy weight method is used to solve the model.ResultsThrough Monte Carlo simulations, the effectiveness and reliability of the IGDT-based robust model in addressing uncertainties such as photovoltaic output and load are validated.ConclusionsThis model provides a feasible solution for the optimal operation of residential microgrids. It is of great significance for improving their economic performance and the on-site consumption rate of distributed renewable energy