Research on multi-time scale optimal scheduling of integrated energy system based on digital twinning

Abstract

Due to the differences in time scales of different units in integrated energy systems, the adaptability of dispatching to load fluctuation is low, and the corresponding cost input is large. Therefore, the research on multi-time scale optimal dispatching of integrated energy systems based on digital twinning is proposed. Based on FPGA and multiple constraints such as timing, resources, and algorithms, a digital twin model of a multi-energy integrated energy system is constructed to address the dynamic changes of various components in the time scale of the multi-energy complementary system. In the scheduling stage, the scheduling interval is determined based on the output and load parameters of each unit module in the integrated energy system, and the specific scheduling parameters are determined with the goal of digital twin mirror equivalence. In the test results, the fluctuation cost under different operation scenarios is stable below 700 yuan, and the operation cost is stable below 1, 400 yuan, both of which are at a low level.