This paper proposes a Whale Optimization Algorithm(WOA)-optimized Long Short-Term Memory(LSTM)model for optimizing control of distributed energy microgrids with energy storage systems.First,a distributed energy mi-crogrid architecture with an energy storage system is designed and constructed,detailing the system's components and op-erational mechanisms.Secondly,the LSTM model and its application in microgrid optimization control are introduced,and the WOA algorithm is used to optimize the LSTM model.Finally,a series of experiments validate the effectiveness of the WOA-optimized LSTM model,demonstrating that the model's control tracking performance in both training and test datasets outperforms traditional LSTM algorithms.
distributed energy microgridenergy storage systemLSTMWOAoptimization control
维普
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