覃治银,文中,闫文文,赵迪,吴艺,王博宇.考虑光热电站和LAES的冷热电综合能源系统低碳优化运行[J].电测与仪表,2025,62(10):65-74. QIN Zhiyin,WEN Zhong,YAN Wenwen,ZHAO Di,WU Yi,WANG Boyu.Low carbon optimized operation of integrated cooling, heating and powerenergy system considering solar thermal power plants and LAES[J].Electrical Measurement & Instrumentation,2025,62(10):65-74.
考虑光热电站和LAES的冷热电综合能源系统低碳优化运行
Low carbon optimized operation of integrated cooling, heating and powerenergy system considering solar thermal power plants and LAES
研究多能联供的综合能源系统（integrated energy system，IES）是实现能源转型和低碳电力的有效途径。为进一步挖掘IES在低碳和经济运行方面的调度潜力，提出一种考虑热电联产型光热(concentrated solar power，CSP)电站和液化空气储能（liquefied air energy storage，LAES）的IES优化运行策略。首先，结合LAES的冷热循环特性构建含LAES、CSP电站以及各能量转换设备组成的IES架构，并建立各设备的数学模型。其次，引入阶梯式碳交易机制，以含系统购能成本、运维成本、碳排放成本的综合成本最小为目标，建立IES优化运行模型。在此基础上，建立考虑多重不确定性的IES模糊机会约束规划模型。最后基于多个场景调用混合整数规划软件对模型进行求解，结果表明：所提策略能有效降低系统的总成本与碳排放量，不确定性上升主要会提高系统的购能成本。
英文摘要:
The study of integrated energy system (IES) with multiple energy sources is an effective way to realize energy transition and low-carbon electricity. To further explore the potential of IES in low-carbon and economic operation, we propose an optimal operation strategy of IES considering the concentrated solar power (CSP) plant and liquefied air energy storage (LAES). The IES architecture consisting of LAES, CSP power plant and each energy conversion equipment is constructed by combining the cold and heat cycle characteristics of LAES, and the mathematical model of each equipment is established. A stepped carbon trading mechanism is introduced, and an IES optimized operation model is established with the objective of minimizing the comprehensive cost of energy purchase, operation and maintenance, and carbon emission cost of the system. On this basis, an IES fuzzy opportunity constrained planning model considering multiple uncertainties is established. The results show that the proposed strategy can effectively reduce the total cost and carbon emission of the system, and the increase of uncertainty will mainly increase the energy purchase cost of the system.
