An optimal dispatch model of adiabatic compressed air energy storage system considering its temperature dynamic behavior for combined cooling, heating and power microgrid dispatch

Abstract

Adiabatic compressed air energy storage (A-CAES) technology naturally has the ability of cogenerating cooling heating and electric power. It is a promising energy storage technology in the application of combined cooling, heating and power (CCHP) dispatch. This paper explores a new modelling method of the A-CAES for CCHP dispatch by taking the temperature dynamic behavior of the A-CAES into detailed consideration. With the help of the binary technique and piecewise approximation method, this A-CAES model is formulated based on mixed-integer linear programming (MILP), which can be easily solved. On the basis of this, an optimal day-ahead dispatch model for a CCHP microgrid containing an A-CAES is proposed. The empirical study based on a pilot plant and system data in China is carried out. The simulation results verify the effectiveness of the proposed A-CAES model. With the comparison of the results using the proposed A-CAES model and the conventional A-CAES model without considering temperature dynamic behavior, the results show that the system operation cost obtained by the proposed model can be 13.7% lower than the results obtained by the conventional A-CAES model.