IBMF-based Global Optimization Control on Energy Conservationof a Central Air-conditioning System

Centralized air-conditioning system is a complex system composed of many interconnected subsystems. The centralized optimal control method on energy conservation of central air-conditioning system is difficult to solve the problem of the dimension calamity caused by the high dimension of optimized model of central air-conditioning system. To rapidly solve the high-dimension models for the setvalue of their optimal working conditions, the Interaction Balance Method with Feedback (IBMF) in the large scale system theory is introduced in this paper. The decomposition method of large scale system theory is used to decompose the central air-conditioning system that was taken as an example into multiple. The models of these subsystems are built and the globally optimized operating model is built. Meanwhile, the optimized hourly set values of control parameters of these subsystems are obtained by coordination method of IBMF, which make the whole system run at the optimal working conditions and achieve an energy conservation effect of 14.20%.