A Two-stage Model Predictive Control Strategy for Economical Operation of Microgrid

Microgrid consisting of distributed diesel generators, battery packs and distributed photovoltaics can provide effective power supply for residents in remote areas such as islands. However, due to fluctuations in load power consumption and distributed PV output, it needs be effective. The operational control method adjusts the power distribution to achieve cost-effective operation of the system and reliable power supply. Therefore, this paper proposes a microgrid optimal operation control strategy based on two-stage model prediction method. The first two-stage builds an optimal control problem based on an effective prediction of the power of each component to achieve optimal distribution of electrical energy. In order to improve the robustness of the control strategy to the prediction error, the second two-stage further adjusts the power generation of the diesel generator by solving the boundary value problem. The case study shows the effectiveness of the proposed control strategy in terms of computational feasibility, accuracy, robustness and cost reduction.