Renewable energy has significant output fluctuation. In areas with a small thermal power generation
capacity, some wind power plants need to install storage batteries. Additionally, fluctuations in wind power
generation output on remote islands are putting pressure on the control capacity of thermal power generation.
This paper proposes a new wind speed prediction method using a wind generation power system with
redox flow batteries. A fixed order of the autoregressive (AR) coefficient predicts the wind speed 60 minutes
ahead, the AR model's predicted wind speed is added to the average value of the difference between the
actual wind speed and the AR model's predicted wind speed, and the prediction wind speed curve is passed
through a low-pass filter. As a result, the predicted power output of the power system was determined with
high prediction accuracy by using the measured wind speed data, and frequency fluctuations were
suppressed within an acceptable range.
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