科研之友
微信
新浪微博
Facebook
分享链接
摘要
A dual-mode CO2 heat pump coupled with hot and cold thermal storages was proposed as a high-efficiency smart grid enabling option for supporting higher penetration levels of intermittent renewables in the energy system. However, the optimal control of simultaneous hot and cold thermal storage systems in real time is very delicate. In this study, a novel system-based optimization method is proposed, in which the COP of such system is simplified with empirical correlation, and a solution for the optimal control vector that maximize the transient system COP is determined using genetic algorithm for global optimization. To evaluate the system-based optimization method, experimental tests were conducted, and a real-time near-optimal control strategy for charging of dual-model energy storage systems was developed and implemented. Practical operation results show that the near-optimal control strategy is able to search the near-optimal transient total COP in real time, and optimize the overall COP of such dual-mode coupled systems during energy charging.
