光储直柔低碳供冷系统优化控制方法研究
Optimal control method for photovoltaic,energy storage,direct current and flexibility (PEDF) integrated low-carbon cooling systems
摘要：
建筑空调供冷系统因其高能耗属性与负荷波动特性,在夏季用电高峰时段对电网运行造成显著负荷冲击。实现供冷系统与分布式光伏-储能系统的多能协同优化,不仅能提升建筑运行经济性和低碳性,更对增强电网可再生电力消纳能力具有重要现实意义。本研究构建了光储直柔低碳供冷系统日前优化调度与日内高效实时控制双层级协同优化架构,并基于国内典型工程案例开展了模拟验证。结果表明:在经济优先模式下,直流电力系统消纳光伏比例提升至88.2%,交直流混合电力系统则实现100%光伏自消纳比例;系统运行成本降幅达31%,运行碳排放量降幅达16.1%,单位冷量制取成本优化至0.086元/(kW·h),具有显著的经济效益和减碳效益。
Abstract：
Building air conditioning cooling systems,distinguished by their high energy consumption nature and load variability,exert substantial pressure on power grid operations during summer peak demand periods.The realization of synergistic coordination between cooling systems and distributed photovoltaic-energy storage systems not only improves building operational economics and decarbonization performance,but also critically enhances the power grid’s capacity for renewable energy integration.This research proposes a dual-layer collaborative optimization architecture combining day-ahead scheduling optimization and real-time efficient control for photovoltaic,energy storage,direct current (DC) and flexibility (PEDF) integrated low-carbon cooling systems,with technical validity verified through dynamic simulations of representative Chinese engineering prototypes.Case analyses reveal that under the economic-driven operation mode,DC power systems demonstrate a photovoltaic self-consumption rate of 88.2%,while alternating current/direct current (AC/DC) hybrid power architectures achieve full self-sufficiency with 100% photovoltaic energy utilization.Comparative assessments demonstrate 31% reduction in operational expenditure,16.1% decrease in carbon emissions,and optimized cooling production cost reaching 0.086 yuan/(kW·h),collectively evidencing superior techno-economic performance and substantial decarbonization potential.
Keywords:photovoltaic,energy storage,direct current and flexibility (PEDF); cooling system; distributed photovoltaic; energy storage; carbon emission; dual-layer collaborative optimization; economic operation; simulation and verification