As a large integrated energy system, district cooling system (DCS) is widely proposed for its favorable comprehensive performance. However, due to the high complexity of DCS structure and comprehensive influential variables on cooling demand, to propose an effective operational strategy that not only enhances energy efficiency but also ensures indoor thermal comfort is quite challenging. This research proposes a novel and online multi-objective optimization strategy for DCS operations, which minimizes both energy consumption and thermal discomfort, to tackle the aforementioned challenge. The proposed strategy incorporates accurate spatiotemporal cooling demand modeling: 1) On the one hand, cooling load models of both cooling dissipations during transport networks and cooling end consumers considering comprehensive influence of outdoor meteorological parameters are described; 2) On the other hand, all power consumption components in the DCS including chiller, pump, fan coil, fan of cooling tower, are built and connected with system cooling demand. Numerical experiments based on a real-world DCS are conducted to validate the proposed strategy. The results show that by adopting the proposed strategy, energy consumption cost and thermal comfort can be effectively optimized and can save an extra 5% of energy consumption comparing with published strategies.

区域供冷系统（DCS）作为一种大型综合能源系统，以其良好的综合性能而被广泛提出。然而，由于DCS结构的高度复杂性和对制冷需求的综合影响变量，提出一种既能提高能源效率又能保证室内热舒适度的有效运行策略是相当具有挑战性的。本研究为 DCS 操作提出了一种新颖的在线多目标优化策略，可最大限度地减少能源消耗和热不适，以应对上述挑战。所提出的策略结合了准确的时空冷却需求建模：1）一方面，描述了考虑室外气象参数综合影响的运输网络冷却耗散和冷却终端消费者的冷负荷模型；2) 另一方面，DCS中所有用电部件包括冷水机、水泵、风机盘管、冷却塔风机等，均内置并与系统冷却需求相连。进行了基于真实世界 DCS 的数值实验以验证所提出的策略。结果表明，采用所提出的策略，可以有效优化能耗成本和热舒适度，与已发布的策略相比，可以节省额外5%的能耗。构建并与系统冷却需求相关联。进行了基于真实世界 DCS 的数值实验以验证所提出的策略。结果表明，采用所提出的策略，可以有效优化能耗成本和热舒适度，与已发布的策略相比，可以节省额外5%的能耗。构建并与系统冷却需求相关联。进行了基于真实世界 DCS 的数值实验以验证所提出的策略。结果表明，采用所提出的策略，可以有效优化能耗成本和热舒适度，与已发布的策略相比，可以节省额外5%的能耗。