Adaptive robust optimal dispatch of microgrid based on different robust adjustment parameters

Abstract

This paper proposes a microgrid adaptive robust optimal dispatch model with different robust adjustment parameters to improve the operating economy and safety of large-scale renewable distributed energy integration into the microgrid system. Through a robust equivalent process, considering the uncertain characteristics of the renewable energy output and load demand in the microgrid, the uncertain parameters are converted into corresponding definite parameters. A two-stage robust optimization model is established to minimize the operating cost of the microgrid under the premise of ensuring the robustness of the microgrid. An improved Benders algorithm is proposed to solve the established optimization model. The different robust adjustment parameters can be obtained adaptively through the optimization program. The optimized adaptive robust adjustment parameters can better reflect the balance between the economy and robustness of the microgrid operation, and are more suitable for the operation of the microgrid. The improved Benders algorithm can effectively speed up the solution and improve the efficiency of the solution. The simulation of the modified IEEE39-bus system verifies the rationality of the proposed optimization model and the advantages of the improved algorithm.