多台冷水机组负荷分配优化策略仿真研究
Simulation study on optimal load distribution strategy of multiple chillers
摘要：
以广州某商场冷水机组系统为研究对象，根据机组全年运行数据，采用最小二乘法对机组能效模型的参数进行辨识，建立了各台冷水机组运行能效模型，并根据空调系统全年冷负荷分布特性，以冷水机组总能耗最小为目标，探讨了基于遗传算法的多台冷水机组负荷优化分配策略。对该商场夏季和过渡季节多台冷水机组优化运行策略进行了仿真实验，结果表明：与原有运行方式相比，夏季负荷率为50%～75%时，冷水机组优化运行后的能耗比原运行方式降低25.75%；过渡季节负荷率为25%～50%时，冷水机组优化运行后的能耗比原运行方式降低5.35%。
Abstract：
Taking the chiller system of a shopping mall in Guangzhou as a research object, based on the annual running data, identifies the parameters by using the least square method, and establishes the operation efficiency models for all chillers. According to the annual cooling load distribution characteristics of air conditioning system, taking the minimum total energy consumption as the goal, obtains the optimal load distribution strategy of multiple chillers based on the genetic algorithm. Applies the optimal method to the two kinds of operating conditions of the chiller system in summer and transition season. The results show that compared with the original control schemes, the optimal control scheme can realize the energy-saving of 25.75% at the load ratio of 50% to 75% in summer and of 5.35% at the load ratio of 25% to 50% in transition season.
Keywords:chiller,loaddistribution,operationefficiencymodel,geneticalgorithm,optimaloperationstrategy,coefficientofperformance