The strong randomness of load fluctuations and distributed power generation as well as the more complex structural design of multiple microgrids pose significant challenges to the load frequency stability control of microgrids.Therefore,the paper propose a load frequency control(LFC)method for the multiple microgrids with variable-speed constant-frequency doubly-fed wind turbines based on learnable model predictive control.Firstly,an interconnected multiple microgrid LFC model that includes wind power generation units,energy storage,micro gas turbines,and loads is constructed.Then a learnable model predictive control algorithm is proposed,which can achieve parameter adaptation for the model predictive controller based on deep reinforcement learning.Finally,some simulations are conducted to verify that the control method has online learning ability and experience replay function,and can achieve stable frequency control under various complex operating conditions.
关键词
多微电网系统/负荷频率控制/深度强化学习/模型预测控制
Key words
multi microgrid system/LFC/deep reinforcement learning/model predictive control
维普
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