Intelligent Optimal Control Strategy of Heat Pump System Based on Digital Twins

Abstract In the context of digital transformation power grid, twins, as one key technologies to promote and intelligent development industry, are still in theoretical research stage. Focusing on application twin technology an optimal control strategy for heat pump system (HPS) based is proposed. Firstly, DOE-2 model HPS prediction building load established. Secondly, real-time monitoring data, improved quantum particle swarm optimization algorithm used rolling parameters. Finally, formulated comprehensive consideration energy consumption, number startups shutdowns, temperature requirements HPS. The example results show that has high accuracy. Compared with manual method, proposed can effectively improve efficiency utilization a better effect, providing technical support operation management