多市场参与下热电联产虚拟电厂低碳经济协同调度方法  

Low-carbon economic coordinated scheduling method for combined heat and power virtual power plants under multi-market participation

作　　者：孙晨业 尹文良 张祯滨 李明 彭克[1] SUN Chenye;YIN Wenliang;ZHANG Zhenbin;LI Ming;PENG Ke(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255000,China;School of Electrical and Information Engineering,University of Sydney,Sydney 2006,Australia;School of Electrical Engineering,Shandong University,Jinan 250061,China)

机构地区：[1]山东理工大学电气与电子工程学院,山东淄博255000 [2]悉尼大学电气与信息工程学院,澳大利亚悉尼2006 [3]山东大学电气工程学院,山东济南250061

出　　处：《电力工程技术》2024年第6期100-110,共11页Electric Power Engineering Technology

基　　金：国家自然科学基金资助项目(52005306);山东省自然科学基金资助项目(ZR2020QE220);山东省高等学校青创科技支持计划资助项目(2022KJ323)。

摘　　要：热电联产(combined heat and power,CHP)机组与虚拟电厂(virtual power plant,VPP)结合,可以有效提高能源利用效率,增强电力系统运行的可靠性及稳定性。为保证CHP-VPP灵活、低碳、经济运行,文中提出一种聚合风电、光伏、CHP机组、锅炉、碳捕集设备、燃气轮机、燃料电池、储能及电、热负荷的综合能源VPP,并在参与电-热-旋转备用-碳等多市场下,研究其低碳经济协同调度问题。首先,以各时刻VPP在多市场下整体净收益最大为目标,建立其CHP-VPP两阶段鲁棒优化调度模型;然后,考虑新能源出力、市场价格及负荷的不确定性,利用蒙特卡洛法进行场景削减,从而降低系统风险,增强其鲁棒性;最后,采用列与约束生成算法对模型进行求解,得到最恶劣场景下系统运行的经济性最优调度方案。仿真结果表明:所提综合能源VPP结构合理,可通过动态调整碳捕集设备及储能电池,达到平抑新能源出力波动的效果,从而实现碳排放的大幅降低;所提调度策略可有效保证源-荷-储多侧电、热资源的协同优化运行,提高VPP的灵活性、经济性和低碳性。The combination of combined heat and power(CHP)units and virtual power plants(VPP)can effectively improve energy utilization efficiency and enhance the reliability and stability of power system operation.To ensure the flexible,low-carbon,and economical operation of the CHP-VPP,this paper proposes an integrated energy VPP that aggregates wind power,photovoltaics,CHP units,boilers,carbon capture equipment,gas turbines,fuel cells,energy storage,and electricity and heat loads.The low-carbon economic coordinated scheduling issues are also investigated,considering multiple markets such as electricity,heat,spinning reserves,and carbon trading.Specifically,a two-stage robust optimization scheduling model for the CHP-VPP is established with the goal of maximizing the overall revenue in multiple markets at each time period.Then,considering the uncertainties from renewable energy outputs,market prices and loads,Monte Carlo method is used for scenario reduction to minimize system risk and enhance its robustness.Finally,a column and constraint generation algorithm is employed to solve the model,obtaining the optimal economic scheduling scheme in the worst-case scenario.Simulation case studies are carried out.Results show that the proposed integrated energy VPP structure is feasible and can achieve a significant reduction in carbon emissions through dynamically adjusting carbon capture equipment and energy storage batteries to achieve smoothness in renewable energy output fluctuations.Furthermore,the proposed scheduling strategy can effectively ensure the coordinated optimization operation of electricity and heat resources in source-load-storage sides,enhancing the flexibility,economy,and low-carbon performance of VPP.

关 键 词：虚拟电厂(VPP) 热电联产(CHP) 碳捕集 优化调度 鲁棒优化 列与约束生成 

分 类 号：TM73[电气工程—电力系统及自动化]