异程管网热湿负荷分配次优解群及适应性
Suboptimal group and adaptability analysis of thermal-humidity load distribution of drect-return chilled water system

提出了一种基于次优解群统计分析的异程管网热湿负荷分配方法，采用变步长+随机走步的寻优计算方法，获得空调季不同负荷率下热湿负荷再分配的次优解群，分析次优解群的随机行为和统计规律，以此探索复杂变量约束下的冷冻水系统负荷分配的优化控制策略及其适应性。根据计算结果，在40%、60%、80%、100%这4种负荷率下末端人数次优解重叠率最高达到24%。研究表明，次优解群随机行为与管网热湿负荷分配策略存在相关性，离冷源侧越近，末端人数次优解重叠率越高，分配策略的负荷适应性越好，其权重越大。
A way of thermal-humidity load distribution of direct-return chilled water system based on the suboptimal group was proposed. And the sub-optimization method of variable step size combined with the random walking was adopted. After obtaining suboptimal group of thermal-humidity load distribution in different load rate in the air-conditioning season, it would analyze random behavior and statistical law of the suboptimal group. So that the optimal control strategy and adaptability of chilled water system could be explored in constraint of complex variable. The results showed that the most overlapped ratio of the suboptimal solution of terminal numbers reached 24 percent under the four load rate, for example, 40%, 60%, 80%,100%. A correlation between random behavior of suboptimal group and strategy of heat and moisture load distribution for chilled water system was found, and the optimal solution of terminal numbers nearer cold sources had the higher overlapped ratio, better adaptability of distribution strategy, larger weight.