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中央空调负荷精细化调控双层优化技术研究
引用本文:陆旦宏,李思琦,杨 婷,王玉莹,查云龙,倪敏珏.中央空调负荷精细化调控双层优化技术研究[J].电力需求侧管理,2024,26(1):23-30.
作者姓名:陆旦宏  李思琦  杨 婷  王玉莹  查云龙  倪敏珏
作者单位:南京工程学院 电力工程学院,南京 211167
基金项目:江苏省产学研和项目(BY2022056);江苏省大学生实践创新训练计划项目(202211276008Z)
摘    要:针对当前中央空调系统粗放式调节不能准确释放调控潜力的问题,深入分析中央空调各子系统工作原理与调控方式,提出基于双层优化的中央空调负荷精细化调控技术方案。首先,面向实际工程实践需求建立建筑湿热标度模型;然后,建立以舒适度和经济性优化目标函数为主的上层调控模型,采用Shapley值法对温湿设定值的进行分配;接着,建立以各子系统优化组合能耗最低为优化目标函数的下层调控模型,采用蚁群算法对优化目标函数进行求解;之后,通过求解双层模型,制定包括末端风机、冷冻水泵以及冷水机组等组件的精细化调控策略;最后,通过多个算例验证所提中央空调负荷精细化调控技术方案的正确性与有效性。

关 键 词:中央空调负荷  双层优化  精细化调控  建筑湿热标度模型  蚁群算法  Shapley值法
收稿时间:2023/9/9 0:00:00
修稿时间:2023/11/18 0:00:00

Research on refined regulation for two-layer optimization technology of central air-conditioning load
LU Danhong,LI Siqi,YANG Ting,WANG Yuying,ZHA Yunlong,NI Minjue.Research on refined regulation for two-layer optimization technology of central air-conditioning load[J].Power Demand Side Management,2024,26(1):23-30.
Authors:LU Danhong  LI Siqi  YANG Ting  WANG Yuying  ZHA Yunlong  NI Minjue
Affiliation:School of Electrical Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Abstract:Aiming at the problem that the extensive regulation of the current central air-conditioning system cannot accurately release the potential of regulation, a technical scheme for refined regulation and control of central air-conditioning load is proposed based on bilevel optimization after elaborate analysis of the operating principle and accommodation mode of each subsystem of central air-conditioning.Firstly, a upper-level control model based on the objective function of comfort and economy optimization is established. Secondly, it is supposed to establish the optimization objective function of amenity and economy, and allocate the temperature and humidity setting points by the Shapley value method. Then, a lower regulation mode aiming at the lowest energy consumption of the optimal combination of subsystems is established, and ant colony algorithm is used to solve the optimization objective function. Then, by solving bilevel optimization, the refined regulation strategy including end fan, chilled water pump and chiller is formulated. Finally, numerical examples are used to verify the correctness and feasibility of the proposed technical scheme for refined regulation.
Keywords:
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