To better enable compressed air energy storage (CAES) to play a significant role in active power regulation services in modern power systems, it is necessary to accurately understand its operation characteristics. The prerequisite for analyzing operational characteristics is to precisely establish a mathematical-physical model of CAES participating in the corresponding services. A modeling method for CAES participating in frequency response and peak regulation active power regulation auxiliary services in the power system and its operational characteristic analysis are proposed. In view of the problem that the control strategies adopted in the existing CAES grid connection and service participation models are not practical and have weak functionality due to the cumbersome and complex intermediate processes, the proposed CAES model adopts a double closed-loop control strategy of PQ outer loop and current inner loop in both the grid connection part of the machine-side rectifier and the grid-side inverter and the links of participating in frequency regulation and peak regulation auxiliary services, which can better achieve efficient response to the three-stage grid connection of CAES and the active power regulation requirements of the power system. Choosing a 690 V/50 Hz, 500 kW CAES system as the case studies, the proposed model is established in MATLAB/Simulink. The results show that the proposed strategy can better meet the frequency regulation requirements of the power system, thereby better ensuring the secure, high-quality and economic operations in new power systems. • A control strategy for efficient CAES participation in frequency regulation is proposed. • An efficient control method for CAES in grid-connected peak shaving services is presented. • A modeling approach for CAES in active power regulation is proposed. • Primary frequency modulation using a PQ-outer and current-inner dual closed-loop control.
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R. G. Zhang
Hui Li
Jianxing Liu
Energy Reports
Harbin University of Science and Technology
Harbin Electric Corporation (China)
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Zhang et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69ba429c4e9516ffd37a2fce — DOI: https://doi.org/10.1016/j.egyr.2026.109208