多目标优化在中央空调节能优化系统中的应用  

Application of Multi-Objective Optimization in Energy Saving for Air Conditioning System

作　　者：梁静[1] 宋慧[1] 王龙[1] 瞿博阳[1,2] 

机构地区：[1]郑州大学电气工程学院,河南郑州450001 [2]中原工学院电子信息学院,河南郑州450007

出　　处：《计算机仿真》2015年第6期302-307,共6页Computer Simulation

摘　　要：中央空调系统优化一个最重要的问题就是实现节能。但系统比较复杂,涉及到的参数指标也比较多,参数指标就构成了中央空调系统节能优化过程中的多个目标.其中能效比和制冷量是两个相互矛盾的指标,大多数现用算法在把它们做单目标处理时由于不能很好地兼顾,容易陷入局部最优。采用多目标优化中的帕累托最优能够很好地平衡和解决这两个指标之间的共存问题。因此可以采用多目标优化来解决该问题。实验结果表明:相比于单目标,多目标优化在解决上述类问题上更具优越性,能够满足不同使用者对空调性能指标的要求。One of the most important issues of central air - conditioning system is to realize energy saving. The system is complex, affected by many factors which are multi - objectives in the process of energy saving for the cen- tral air - conditioning optimum system. Criteria of Energy Efficiency Ratio and Cooling Capacity are contradictory is- sues in this multi -objective problem, most existing algorithms regard it as a single objective problem and are easily to be trapped into local optima while Pareto optimality in multi - objective optimization can balance and solve the co- existence problem of these two incompatible objectives. Multi - objective optimization can be used to solve these problems. The result shows that compared with single - objective optimization, multi - objective optimization has more advantages on solving these problems, and can meet performance requirements of air conditioning for different users.

关 键 词：能效比 制冷量 多目标优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]