Efficient Operation Scheduling for Refrigeration System

Abstract

We consider the defrost timing scheduling for refrigeration system, where it is required to reduce the peak consumption of electric power. The scheduling system is based on the two-stage genetic algorithm. We obtain the cyclic defrost timing at the first-stage, and improve the defrost timing at the second-stage modifying the cyclic defrost timing. The requirement on the undesirable defrost timing can be considered. The case study by using the data at the actual store is shown to verify the effectiveness.