This study presents a model-based dynamic optimization strategy for a dual-mode CO_2 ejector expansion heat pump coupled with hot and cold thermal storages, which was proposed as a high-efficiency smart grid enabling option in heating and cooling services for buildings or industry. The dynamic model of the coupled system was developed by Modelica. The outlet water temperatures of hot and cold tanks are used as indicators in the dynamic optimal strategy for charging of hot and cold storages using a dual-mode heat pump. To optimize the overall performances during energy process, the transient performances are optimized by genetic algorithm based on Modelica-based modeling of dynamic system. Single-objective and multi-objective dynamic optimal control strategies were developed and implemented into the simulation system. Modeling results show that these two developed model-based dynamic optimal control strategies are able to search the optimal transient performances and optimize the overall performances of such coupled systems during energy charging. Compared with the strategy with constant control parameters, these two dynamic optimal control strategies can be helpful in the coordinative optimization of multiple control parameters, and multi-objective dynamic optimal control strategy is superior to the single-objective one.
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