Scholarlink

The mismatch between power demand and consumption disrupts the system’s frequency stability and may potentially lead to blackouts. It is important to design an appropriate controller for a modern microgrid (MG) because of the increased complexity and uniqueness of the problems it faces. For MGs, this paper discusses the development of a model predictive controller (MPC) for optimum, resilient, and quick frequency regulation. The investigated MG incorporates power storage (PS), wind and solar renewable energy sources (RES), and electric vehicles (EV). Comparing Simulink/MATLAB simulation results with the classic PID and the multistage PD(1 + PI) controllers has assessed the suggested controller’s effectiveness. The simulation findings demonstrate that the MPC mechanism improves the system’s dynamic responsiveness while reducing its dependency on PSs and EVs, making the controller more independent and less vulnerable to their availability concerns.

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Model Predictive Control Approach for Frequency Regulation of a Modern Microgrid Including Electric Vehicles

  • 会议论文

  • 发表日期：

    2025年

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  • Hossein Shayeghi,
  • Alireza Rahnama,
  • Nicu Bizon

摘要

The mismatch between power demand and consumption disrupts the system’s frequency stability and may potentially lead to blackouts. It is important to design an appropriate controller for a modern microgrid (MG) because of the increased complexity and uniqueness of the problems it faces. For MGs, this paper discusses the development of a model predictive controller (MPC) for optimum, resilient, and quick frequency regulation. The investigated MG incorporates power storage (PS), wind and solar renewable energy sources (RES), and electric vehicles (EV). Comparing Simulink/MATLAB simulation results with the classic PID and the multistage PD(1 + PI) controllers has assessed the suggested controller’s effectiveness. The simulation findings demonstrate that the MPC mechanism improves the system’s dynamic responsiveness while reducing its dependency on PSs and EVs, making the controller more independent and less vulnerable to their availability concerns.