跨临界CO2循环系统控制优化策略的研究进展OACSTPCD

As an important part of the transcritical CO2 cycle system,the control strategy played the key role to en-sure the high efficiency and energy saving operation of the system.Studies of control strategies were examined such as the feedback control based on the empirical calculation of the optimal diacharge pressure of the system and the Buckingham π theorem,the real-time online control based on gradient tracking and extreme seeking,and the pre-dictive control based on the neural network,etc.The development history and future development trend of the sys-tem control strategy were analysed and summarized in detail.Off-line control was easy to establish with low cost,but it was easily affected by environmental factors and changes in system components,resulting in reducing control performance;The real-time online control strategy could track the discharge pressure corresponding to the maximum energy efficiency of the system in real time,but due to the long optimization process,the convergence time of the control system was too long.Model predictive control system could realize real-time optimization and rapid conver-gence,and had a good development prospect.Combined with the practical scenarios of new energy vehicles,build-ing heating,rail transit,commercial refrigeration,military industry and other practical scenarios,the application characteristics and future development trend of the control strategy of the transcritical CO2 cycle system were ex-plored,and it was further explained that improving the applicability of the control strategy was an important direc-tion for future research.The feasibility of applying adaptive methods such as generalized predictive control and rein-forcement learning to the control strategy of transcritical CO2 cycle system was proposed,and the significance of de-veloping control strategy for large-scale cycle system and energy storage system in China with the background of"double-carbon"was discussed.