基于IW-ABC算法的冰蓄冷空调系统优化调度研究  

Study on Optimal Scheduling of Ice Storage Air Conditioning System Based on IW⁃ABC Algorithm

作　　者：于军琪[1] 赵何超 陈登峰[1] YU Junqi;ZHAO Hechao;CHEN Dengfeng(School of Building Services Science and Engineering,Xi'an University of Architecture and Technology,Xi'an 710055,China)

机构地区：[1]西安建筑科技大学建筑设备科学与工程学院,西安710055

出　　处：《建筑科学》2023年第8期124-133,175,共11页Building Science

基　　金：国家重点研发计划项目(2017YFC0704100);西宁曹家堡机场三期扩建工程智慧能源管理系统咨询技术服务(20220113)。

摘　　要：针对冰蓄冷空调系统优化调度问题提出1种改进的波动人工蜂群算法(IW-ABC),以运行成本最低为目标,以动态电价、冷负荷要求和现场技术约束,建立冰蓄冷空调系统的优化调度模型,解决冰蓄冷空调系统夏季工作日的优化调度问题。在冰蓄冷空调系统电价成本模型建立中,将运行负荷按小时计算,以满足按小时的动态电价求解策略;在IW-ABC算法中,通过引入的非线性波动因子与自适应排斥因子,增强局部搜索能力,提高全局最优解的准确度,使空调系统能够快速准确地进行优化调度,避免过早接触电价顶峰,实现节能。实验结果表明,IW-ABC算法对冰蓄冷空调设备运行优化后,高峰负荷减小17.2%,调峰效果优异,相比于其他算法可以更有效的实现冰蓄冷空调系统的节能和降低成本,进一步优化运行效率,且算法收敛效果更迅速、搜索范围有效扩大、寻优结果稳定性增强。Targeting the optimal scheduling problem of the ice⁃storage air⁃conditioning system,an Improved Wave⁃Artificial Bee Colony algorithm(IW⁃ABC)was proposed.With the lowest operating cost as the goal,dynamic electricity price,cooling load requirements,and on⁃site technical constraints were used to establish an optimal scheduling model for the ice⁃storage air⁃conditioning system.The model can be used to optimize scheduling in summer working days.While building the electricity price model for the ice⁃storage air⁃conditioning system,the operating load is calculated on an hourly basis to satisfy the hourly dynamic electricity price solution strategy.In the IW⁃ABC algorithm,the nonlinear fluctuation factor and adaptive exclusion factor were introduced to enhance the local search ability and improve the accuracy of the global optimal solution,so that the air⁃conditioning system can optimize the scheduling quickly and accurately,avoid reaching the electricity price peak too early,and achieve energy saving.The experimental results show that after optimizing the operation of ice storage air conditioning equipment by the IW⁃ABC algorithm,the peak load is reduced by 17.2%,indicating outstanding peak regulation effect.Compared with other algorithms,it can save energy and reduce the cost more effectively,and further optimize the operation efficiency,and the convergence effect of the algorithm is faster,with effectively expanded search range,and enhanced stability of the optimization results.

关 键 词：冰蓄冷空调系统 动态电价 改进波动蜂群算法 优化调度 系统节能 

分 类 号：TU831.6[建筑科学—供热、供燃气、通风及空调工程]