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Optimal charging and discharging control for hybrid energy storage system based on reinforcement learning
Optimal charging and discharging control for hybrid energy storage system based on reinforcement learning
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机译:基于加固学习的混合能量存储系统最优充电和放电控制
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摘要
Systems and methods are disclosed to manage a microgrid with a hybrid energy storage system (HESS) includes deriving a dynamic model of a bidirectional-power-converter (BPC)-interfaced HESS; applying a first neural network (NN) to estimate a system dynamic; and applying a second NN to calculate an optimal control input for the HESS through online learning based on the estimated system dynamics.
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