A hybrid hydrogen energy storage power station combined heat and power method based on SAC algorithm

Abstract

The present application relates to the technical field of power system dispatching and operation, in particular to a method for combined heat and power generation of a hybrid hydrogen energy storage power station based on SAC algorithm. The method first establishes a hybrid hydrogen energy storage power station adopting a combined heat and power operation mode, which comprises alkaline, proton exchange membrane and high-temperature solid oxide electrolytic cells and fuel cells; a multi-physical field optimization operation model of the hybrid hydrogen energy storage power station for power grid peak and heat supply demand is constructed, and the collaborative operation curve of the hybrid hydrogen energy storage power station can be obtained by solving the multi-physical field optimization operation model; the collaborative operation curve of the hybrid hydrogen energy storage power station is optimized and solved by using SAC deep reinforcement learning, and the optimization and solution includes constructing a Markov decision process and constructing a state transition function. The present application adopts a combined heat and power mode to improve the comprehensive operation efficiency of the power station through waste heat recovery.

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