Abstract
The park’s electric refrigeration system exhibits complex coupling relationships and heterogeneous operational characteristics, making it difficult to achieve optimal operation. Therefore, a strategy for optimizing the park’s electric refrigeration system, considering the potential for mutual assistance from multiple energy sources, is proposed. Firstly, an introduction to the structure of the park’s electric refrigeration system is provided. Subsequently, operational constraints for the park’s units are established through quantitative analysis of the operational characteristics of systems such as the photovoltaic power generation system. Based on this, an optimization scheduling strategy for the park’s electric refrigeration system is proposed to minimize system operating costs. Finally, the model is transformed into a Mixed Integer Linear Programming (MILP) problem by employing linearization techniques. Simulation results demonstrate the effectiveness of the proposed strategy.
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