Capacity optimization allocation method of photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system based on SAO algorithm

Abstract

The capacity optimization allocation of hybrid micro-energy systems is an important link in micro-energy systems, which can effectively improve the reliability and economy of the power grid. In this paper, the capacity optimization allocation method of a photovoltaic-temperature difference-hydrogen-storage hybrid micro-energy system is studied. First, a capacity optimization configuration model based on photovoltaic, temperature difference, and hydrogen storage hybrid micro-energy system was established to maximize revenue. Then, the SAO algorithm is used to optimize its strategy. When the strategy does not change, it indicates that the income has been maximized. Finally, concerning the snow ablation mechanism, it can balance development and exploration well and can optimize the global optimal solution even in a more complex environment. The proposed method can ensure the reliability under premise of relatively low cost, and effectively improve the rationality of the power grid capacity allocation method in the photovoltaic thermal power generation scenario.