Abstract
This paper considers the distributed power management of a microgrid consisting of consumers, PV generators, and batteries. The objectives of the microgrid management are (1) the supply-demand balancing, (2) the low dependency on the main grid based on the local-production-local-consumption policy, and (3) the reservation of battery charges to prepare for faults or islanded operations. For the microgrid management, it is important to explicitly take account of the prediction of PV power generation because it heavily depends on weather conditions. By extending the result due to Takeda and Takaba (Trans. SICE, vol. 54, no. 2, 2018), we propose a distributed stochastic model predictive control method using the predicted PV powers. In the proposed method, each battery management system (BMS) attached to a battery determines the power flows from and into the battery in a distributed manner so that the above objectives are achieved in the local area around the BMS. We verify the effectiveness of the proposed method by numerical simulations.
