封闭式养殖空调系统的节能优化算法研究

在解决养殖空调系统节能问题中,采用了自适应蚁群算法对多参量、非线性系统可寻最优求解的算法,并考虑到可能发生系统局部最优问题,利用Metropolis准则下的模拟退火算法来改善全局优化能力,提出了全局最优化参数的退火-蚁群算法,并在空调系统中进行了验证.结果表明,应用算法能使空调控制系统鲁棒性增强,节能率可达27.12%.

The Optimal Energy-saving Arithmetic in Close Coporation Breed Aquatics Conditioning System

During the process of solving the energy saving performance of breed aquatics air conditioning system, this paper introduced the self-adaptive Ant-Group algorithm for optimizing multi-parameters nonlinear system. Considering this method may have local optimal problem, we proposed using both Metropolis criterion and Analog-Anneal algorithm to improve overall optimal ability, and provided Anneal-Ant algorithm based on overall optimal parameters. We tested the algorithm in a supermarket air-conditioning optimizing system, and the results confirmed it could enhance the robustness of air-conditioning system and its system energy saving rate was up to 27.12%.