A Day-ahead Scheduling Optimization Model of Multi-Microgrid Considering Interactive Power Control

Aiming at the problem of insufficient stability and security considerations for multi-microgrid system access distribution network, this paper proposes a multi-microgrid day-ahead scheduling optimization model considering interactive power control. The upper optimization model aims to reduce the interaction power between the microgrid and the distribution network and coordinates the output between the microgrids. The lower optimization model is devoted to solve the economic optimization operation of the multi-microgrid system. The bilateral bidding strategy is adopted to make the microgrid conduct energy trading to reduce the overall cost of the multi-microgrid system and reduce the impact of power fluctuations on the distribution network. The distribution network system with multiple microgrids is used to verify that the optimization model can obtain better output plans for each microgrid. The set trading strategy encourages effectively the mutual energy between the microgrids and reduces the micro-grid's impact of grid operation on the distribution network.