基于改进模拟退火算法的多台冷水机组负荷优化分配

Improved Simulated Annealing Algorithm in Optimal Load Distribution of Multiple Chillers for Energy Conservation

将标准模拟退火算法的随机搜索策略改为混沌遍历搜索策略,采取一种特殊的算法确定初始温度以减少冗余迭代次数,增加方差判定准则作为搜索停止的条件,以多台冷水机组总能耗最小为目标,建立最优负荷分配模型,将改进的模拟退火算法应用于多台冷水机组的负荷最优分配。理论分析计算及实际结果均表明,可以实现节能,与通常的负荷分配策略相比,节能4%～11%。

The random search strategy was substituted by the chaotic traveling strategy in standard simulated annealing algorithm,variance evaluation criteria was appended as a condition to stop searching,a special method was adopted to determine the initial temperature in order to reduce redundant iterations,the improved stimulated annealing algorithm was applied to minimize the total power consumption of the multiple chiller water units which connected in parallel to achieve the purpose of energy saving.The mathematical model of the multiple chiller water units and the energy-saving methods by means of the improved simulated annealing were established.Both the theoretical analysis and the actual results indicated that the energy savings could be realized,and the total energy consumption of all the chillers was reduced by 4% to 11% compared with the usual load distribution strategy.