A Capacity Allocation Method for Advanced Adiabatic Compressed Air Energy Storage Systems Considering the Synergistic Complementarity of Multiple Heat Sources

Advanced adiabatic compressed air energy storage (AA-CAES) has natural cogeneration characteristics, which can effectively alleviate the problem of wind abandonment during the heating period. Suppose operational needs can be fully considered during the planning stage and energy storage capacity can be reasonably configured. In that case, it can maximize the clean replacement of coal-fired units while solving the problem of wind abandonment. This article proposes a capacity configuration model for AA-CAES systems with multiple heat sources that complement each other. Firstly, this model introduces an electric boiler to preheat the inlet air of the compressor at the energy input end to increase the compressor's gas transmission coefficient and the unit's heating capacity. Secondly, at the expansion heat source end, solar energy is collected through a reflective mirror field to improve the system's heat storage level And taking into account the actual operational efficiency constraints of each module of the energy storage system, to minimize the total operating cost, the optimal solution for energy storage capacity configuration is calculated. Once again, analyze the impact of factors such as the length of the heating period and environmental temperature on the investment cost recovery period and calculate the recovery period of the investment cost of this model under different circumstances to obtain the hard conditions for building this model to be profitable; Finally, based on typical daily loads and meteorological data during heating and non-heating periods in a certain region of Northeast China, a numerical analysis was completed in the IEEE-39 node system to verify the effectiveness of the proposed model. © 2024 Power System Technology Press. All rights reserved.