A Sizing Method for Flexible Resources in Isolated Microgrids Considering Time Division of Load Response

To improve the adaptability of isolated microgrids (IMs) with uncertain renewable generation and load, an investigation of the sizing method for flexible resources (FRs) is of great significance. This paper proposes a sizing method considering the time division of the load response to determine the size of the FRs. According to probability density of the renewable generation and load response, a stochastic scenario set is generated. Power characteristic analysis and probability statistics methods are combined with the traditional fuzzy cluster method to divide the time of the load response. Then, a bilevel sizing model for FRs is established. The investment cost of the FRs is calculated in the upper level, and the operation cost and performance indicators are calculated in the lower level. A bilevel sizing algorithm for FRs that combines the pattern search (PS) algorithm and CPLEX is designed to obtain the optimal size and electricity price of different load response periods. Simulation results verify the effectiveness of the proposed method and improve the traditional time division method.