Open AccessA Novel Wind DC Microgrid Energy Management Strategy Based on LSTM forecast Model
Author(s) -
Hui Liu,
Lin Fang,
Chen Dihuang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012014
Subject(s) - microgrid , matlab , computer science , scheduling (production processes) , pid controller , wind power , energy management , control theory (sociology) , real time computing , mathematical optimization , control engineering , energy (signal processing) , artificial intelligence , engineering , control (management) , mathematics , statistics , electrical engineering , temperature control , operating system
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%.