Multi-objective Robust Optimization of Microgrid System with Electric Vehicles and New Renewable Energy

Abstract

This paper proposed an adjustable robust optimization algorithm based on interval prediction theory, which integrates photovoltaic power unit, energy storage system and electric vehicle charging station. Based on the interval prediction theory, the mathematical models are established respectively, and the adjustable robust optimal scheduling model is constructed. Besides, an uncertain group scheduling method is proposed for the arrival time of electric vehicles, the number of uncertain factors is determined by setting robust optimization parameters. The model transformed into a linear model by decoupling, solved by lagrange relaxation algorithm, and the effectiveness of the optimization algorithm is verified by introducing the probability of violating load reserve constraints. The case combined photovoltaic power unit, energy storage system and electric vehicle charging station demonstrates the robustness and economy of the system.