Abstract
To address the frequency control problem of microgrids under the influence of renewable energy fluctuations, this paper proposes a risk-averse model predictive control (MPC) method for microgrid systems. First, the charging and discharging states of energy storage are set according to the overall power fluctuations of renewable energy sources and loads, and the mathematical model of the microgrid is constructed as a Markov jump linear system (MJLS) based on the charging and discharging states of energy storage. Then, we use the risk-averse model predictive control method to calculate the frequency adjustment of each distributed power source in real time, so that the microgrid system can maintain frequency stability under the influence of renewable energy randomness; finally, mathematical simulation is conducted to verify the effectiveness of the proposed method to overcome the fluctuation of renewable energy and load.
Published Version
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