Optimal Operation Method of Hybrid AC/DC Microgrid Considering Source-load Coordination Based on Uncertain Bi-level Programming

Abstract

The hybrid AC/DC microgrid has come to the foreground of electrical region. In order to make full use of the complementary advantages of AC and DC power supply modes and considering source-load coordination, an optimal operation method of the hybrid AC/DC microgrid based on the stochastic chance constrained programming model is proposed in this paper. This method comprises an upper-level model and a lower-level model. The upper-level model optimizes the power supply mode of load side, which aims at minimizing the power transmission loss. The lower-level optimizes the output of distributed power and energy storage equipment of the power supply side, which aims at minimizing the running costs of the hybrid AC/DC microgrid. Then this paper introduces a hybrid intelligent algorithm composed of stochastic simulation, neural network and PSO to solve the uncertain bi-level optimal model. Finally, a simulation example is given to demonstrate the correctness and effectiveness of the proposed method.