【摘要】 绿色电力的随机波动与建筑用电需求的持续攀升，给电网安全稳定运行带来挑战。在用户侧柔性调控资源中，配备蓄冷设备的区域供冷系统展现出巨大的需求响应潜力。如何有效利用区域供冷系统参与电网友好互动，已成为当前亟需解决的关键问题。本研究构建区域供冷系统日前优化控制框架，综合考虑用户负荷、气候条件、电价机制以及电力碳排放因子等因素，分别以经济性最优、绿色电力消纳比例最大、用电负荷波动最小为目标，对某区域制冷能源站进行优化控制研究，并构建多指标评价体系评估效果。模拟结果显示，相较于常规运行方案，本文提出经济性最优策略削减了25.5%的运行成本，绿色电力消纳量最大策略减少了2.28%的碳排放量，用电波动最小策略可将日内电负荷波动率从207%降至135%。同时，综合评估结果表明，由于峰谷电价时段划分与绿色电力消纳、用户需求波动周期不同步，单一优化目标策略难以同时实现区域供冷系统的多个柔性调控目标。更多还原

【Abstract】 With the increasing proportion of green power in the energy structure, its stochastic volatility, coupled with the rising end-use energy demand, poses challenges to the safe and stable operation of power grids. District cooling systems with thermal energy storage show potential as flexible regulation resources on the user side. This study aimed to utilize district cooling systems to achieve green power consumption and stabilize power fluctuations. A day-ahead optimization control framework was established, considering user load, climate conditions, electricity price mechanisms, and power carbon emission factors. Three optimization objectives were set, including minimizing operating costs, maximizing green power consumption, and reducing power load fluctuations to the largest extent. A case study of a district cooling energy station was conducted, to optimize its control and build a multi-index evaluation system for effect verification. Simulation results showed that compared with conventional operation, the cost-minimizing strategy reduced operating costs by 25.5%, the green power-maximizing strategy cut carbon emissions by 2.28%, and the load-fluctuation-minimizing strategy decreased daily power load volatility from 207% to 135%. However, due to the mismatch between peak-valley electricity price periods, green power consumption, and user demand cycles, single-objective control strategies cannot simultaneously achieve optimal economy, minimum carbon emissions, and minimum power load fluctuations.更多还原