The Energy Management System Based on Model Predictive Control for Microgrid

Ming Wu, Lingfeng Kou, Xiaogang Hou, Xin Tong, Tao Rui, Weixiang Shen

Abstract


The paper proposes an energy management system(EMS) to decrease the operation cost and improve the voltage stability of microgrid. The proposed EMS is based on model predictive control(MPC), which consists of intra-day rolling optimization stage and real-time feedback correction stage. In the previous stage, considering the output cost of each dispatching unit, an optimal dispatching model with the minimum operation cost is established. In the second stage, to reduce the influence of uncertainty of intermittent distributed power generation and high load fluctuation, the minimum output adjustment of schedulable units is the objective function, which improves the real-time response and stability of the system. By coordinating the active and reactive power output of each schedulable unit in the microgrid, the operation cost of the microgrid is reduced and the voltage self-regulation capability is enhanced. Finally, simulation results verify the feasibility and effectiveness of the proposed optimization strategy

Keywords


microgrid, model predictive control (MPC), energy management system(EMS), coordinated active power and reactive power dispatching


DOI
10.12783/dteees/iceee2018/27895

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