A Novel Wind DC Microgrid Energy Management Strategy Based on LSTM forecast Model

Abstract

In order to improve the accuracy of wind power DC microgrid scheduling, especially in the case of LSTM prediction errors, this paper proposes a WOA optimized DC microgrid energy scheduling control strategy based on LSTM prediction algorithm. MATLAB software is used to simulate the scheduling process. Compared with the traditional LSTM-PID method, the WOA scheduling control strategy reduces the average absolute deviation of the SOC from 0.7043 to 0.1755, a reduction of 75.08%. While the median absolute deviation decreases from 0.5812 to 0.1316, a reduction of 77.36%.