The Research of Energy Saving Optimization of Central Air-conditioning System of Hybrid Approach of ACO and Ant-Group algorithm

摘要

Central air-conditioning system energy saving system optimization is a problem of multi-parametric nonlinear system optimization. The self-adaptive Ant-Group algorithm is an ideal solution to this problem, but there is possibility for it to make the airconditioning system come to local optimal solutions. In terms of this, this article proposes applying both Metropolis Criterion and Analog-Anneal algorithm to improve overall optimality, analyses the algorithm convergence, and provides the conditions of convergence to probability 1. The algorithm applicative results in the air-conditioning system energy saving optimization have been verified in this article. The results show that the application of this algorithm can make the robustness of the airconditioning control system increase, and that the energy saving rate of this system may be up to 26.81%. Therefore, the results of this research possess wide application values.