This paper studies the load distribution strategy of a central air conditioning multi refrigeration plant.Based on the measured data of the refrigeration plant,the least squares method with exponential forgetting is used to identify the energy consumption model parameters of the refrigeration plant,and then an energy consumption model of the multi refrigeration plant group control system is established.On this basis,with the goal of minimizing energy consumption in a multi refrigeration plant system and meeting the end cooling load demand,an Improved Dingo Optimization Algorithm(IDOA)is exploited to optimize the load distribution strategy for multiple refrigeration plants.The experiment conducted on an actual system shows that the proposed load optimization control strategy for refrigeration plants saved 8.88%energy compared to the original operation method during the maximum refrigeration season and 11.14%energy during the maximum temperature difference season.
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