罗其华,李平,张少迪
LUO Qihua,LI Ping,ZHANG Shaodi

• 1:上海电力大学自动化工程学院
• 2:上海电器科学研究所(集团)有限公司
• 3:上海市智能电网需求响应重点实验室

摘要(Abstract)：

VPP（虚拟电厂）是促进清洁能源消纳和提高电力系统稳定性的有效途径。在“双碳”背景下，提出一种考虑需求响应和阶梯碳交易的虚拟电厂优化调度模型。首先，在用户侧建立基于PBDR（价格型需求响应）的模型并分析其运行特点，同时搭建适用于该VPP的阶梯碳交易成本计算模型。接着，以碳交易成本和VPP运行成本最小为目标函数，考虑系统内部机组运行约束，构建了考虑需求响应的VPP低碳调度模型。随后，在MATLAB软件平台上调用CPLEX进行求解，通过设置不同场景进行对比分析，验证了所提模型在兼顾经济与低碳方面的有效性。最后，分析了碳交易价格对VPP总成本以及碳排放量的影响。
Virtual power plants(VPPs) can effectively promote clean energy consumption and improve power system stability. An optimal scheduling model for VPPs considering demand response and stepwise carbon trading is proposed in the context of carbon peaking and carbon neutrality policy. Firstly, a model based on price-type demand response(PBDR) is established on the user side, and its operating characteristics are analyzed. Moreover, a calculation model for stepwise carbon trading cost applicable to the VPPs is built. With carbon trading cost and VPP operation cost minimization as the objective function and the unit operation constraints in the system being considered.A low-carbon scheduling model of VPPs considering demand response is constructed. Subsequently, CPLEX is invoked on the MATLAB software platform to solve the model, and the effectiveness of the proposed model in balancing the economy and low carbon is verified by setting different scenarios for comparative analysis. Finally, the impact of carbon trading price on the total cost of VPP and carbon emissions is analyzed.

关键词(KeyWords)： 虚拟电厂;需求响应;阶梯碳交易;低碳;经济运行
virtual power plant;demand response;stepwise carbon trading;low carbon;economic operation

Abstract:

Keywords:

基金项目(Foundation): 上海市科学技术委员会科研计划项目（19DZ1205703）

作者(Author): 罗其华,李平,张少迪
LUO Qihua,LI Ping,ZHANG Shaodi

参考文献(References)：

• [1]徐潇源，王晗，严正，等.能源转型背景下电力系统不确定性及应对方法综述[J].电力系统自动化，2021,45(16):2-13.XU Xiaoyuan,WANG Han,YAN Zheng,et al.Overview of power system uncertainty and its solutions under energy transition[J]. Automation of Electric Power Systems,2021,45(16):2-13.
• [2]薛禹胜，雷兴，薛峰，等.关于风电不确定性对电力系统影响的评述[J].中国电机工程学报，2014,34(29):5029-5040.XUE Yusheng,LEI Xing,XUE Feng,et al.A review on impacts of wind power uncertainties on power systems[J].Proceedings of the CSEE,2014,34(29):5029-5040.
• [3]张卫国，宋杰，郭明星，等.考虑电动汽车充电需求的虚拟电厂负荷均衡管理策略[J].电力系统自动化，2022,46(9):118-126.ZHANG Weiguo,SONG Jie,GUO Mingxing,et al.Load balancing management strategy for virtual power plants considering charging demand of electric vehicles[J].Automation of Electric Power Systems,2022,46(9):118-126.
• [4]侯慧，唐俊一，王逸凡，等.价格与激励联合需求响应下电动汽车长时间尺度充放电调度[J].电力系统自动化，2022,46(15):46-55.HOU Hui,TANG Junyi,WANG Yifan,et al.Long-timescale charging and discharging scheduling of electric vehicles under joint price and incentive demand response[J].Automation of Electric Power Systems,2022,46(15):46-55.
• [5]夏榆杭，刘俊勇，冯超，等.计及需求响应的虚拟发电厂优化调度模型[J].电网技术，2016,40(6):1666-1674.XIA Yuhang,LIU Junyong,FENG Chao,et al. Optimal scheduling model of virtual power plant considering demand response[J]. Power System Technology,2016,40(6):1666-1674.
• [6]刘鑫，吴红斌，王鲸杰，等.市场环境下考虑需求响应的虚拟电厂经济调度[J].中国电力，2020,53(9):172-180.LIU Xin,WU Hongbin,WANG Jingjie,et al. Economic dispatch of a virtual power plant considering demand response in electricity market environment[J]. Electric Power,2020,53(9):172-180.
• [7]张立辉，戴谷禹，聂青云，等.碳交易机制下计及用电行为的虚拟电厂经济调度模型[J].电力系统保护与控制，2020,48(24):154-163.ZHANG Lihui,DAI Guyu,NIE Qingyun,et al.Economic dispatch model of virtual power plant considering electricity consumption under a carbon trading mechanism[J].Power System Protection and Control,2020,48(24):154-163.
• [8]宋旭东，莫娟，向铁元.电力行业碳排放权的初始分配机制[J].电力自动化设备，2013,33(1):44-49.SONG Xudong,MO Juan,XIANG Tieyuan.Initial allocation mechanism of carbon emission permit in electric power industry[J]. Electric Power Automation Equipment,2013,33(1):44-49.
• [9]梁志远，谢宇霆，胡秀珍，等.碳中和驱动下电力市场零售平台交易模式研究[J].电测与仪表，2022,59(8):47-57.LIANG Zhiyuan,XIE Yuting,HU Xiuzhen,et al. Research on the trading mode of electricity market retail platform driven by carbon neutrality[J]. Electrical Measurement&Instrumentation,2022,59(8):47-57.
• [10]黄文轩，刘道兵，李世春，等.双碳目标下含P2G与需求响应的综合能源系统双层优化[J].电测与仪表，2022,59(11):8-17.HUANG Wenxuan,LIU Daobing,LI Shichun,et al.Twolevel optimization of integrated energy system with P2G and demand response under dual carbon objective[J].Electrical Measurement&Instrumentation,2022,59(11):8-17.
• [11]刘志兵，刘众元，白志刚.山西电力碳排放现状及低碳路径分析[J].山西电力，2022(5):14-17.LIU Zhibing,LIU Zhongyuan,BAI Zhigang. Analysis of current situation and low-carbon path of electric power carbon emission in Shanxi[J]. Shanxi Electric Power,2022(5):14-17.
• [12]王仕炬，刘天琪，何川，等.基于舒适度的需求响应与碳交易的园区综合能源经济调度[J].电测与仪表，2022,59(11):1-7.WANG Shiju,LIU Tianqi,HE Chuan,et al.Comfort demand response and carbon trading based comprehensive energy economic dispatching in industrial parks[J].Electrical Measurement&Instrumentation,2022,59(11):1-7.
• [13]祁兵，赵燕玲，杜亚彬，等.双碳背景下基于需求响应的虚拟电厂调度策略研究[J].内蒙古电力技术，2022,40(1):33-37.QI Bing,ZHAO Yanling,DU Yabin,et al.Research on virtual power plant dispatching strategy based on demand response under dual-carbon background[J].Inner Mongolia Electric Power,2022,40(1):33-37.
• [14]邱发祥，王明远，潘广旭，等.园区综合能源系统日前优化运行研究[J].山东电力技术，2021,48(11):21-28.QIU Faxiang,WANG Mingyuan,PAN Guangxu,et al.Research on day-ahead optimal operation of park integrated energy system[J].Shandong Electric Power,2021,48(11):21-28.
• [15]杨柳，张超，蒋勃，等.考虑用户满意度的虚拟电厂热电联合低碳经济调度模型[J].热力发电，2019,48(9):40-45.YANG Liu,ZHANG Chao,JIANG Bo,et al.A combined low-carbon economic dispatching model for virtual power plant considering customer satisfaction index[J].Thermal Power Generation,2019,48(9):40-45.
• [16]潘崇超，侯孝旺，金泰，等.计及阶梯碳交易和可再生能源不确定性的综合能源系统低碳研究[J/OL].电测与仪表：1-12[2023-08-17]. http：//kns. cnki. net/kcms/detail/23.1202.TH.20220704.0923.002.html.PAN Chongchao,HOU Xiaowang,JIN Tai,et al.A low carbon research on integrated energy system considering the tiered carbon trading and the uncertainties of renewable energy[J/OL].Electrical Measurement&Instrumentation:1-12[2023-08-17]. http：//kns. cnki. net/kcms/detail/23.1202.TH.20220704.0923.002.html.
• [17] KIRSCHEN D S,STRBAC G,CUMPERAYOT P,et al. Factoring the elasticity of demand in electricity prices[J].IEEE Transactions on Power Systems,2000,15(2):612-617.
• [18]万文轩，冀亚男，尹力，等.碳交易在综合能源系统规划与运行中的应用及展望[J].电测与仪表，2021,58(11):39-48.WAN Wenxuan,JI Yanan,YIN Li,et al.Application and prospect of carbon trading in the planning and operation of integrated energy system[J].Electrical Measurement&Instrumentation,2021,58(11):39-48.
• [19]张晓辉，闫柯柯，卢志刚，等.基于碳交易的含风电系统低碳经济调度[J].电网技术，2013,37(10):2697-2704.ZHANG Xiaohui,YAN Keke,LU Zhigang,et al.Carbon trading based low-carbon economic dispatching for power grid integrated with wind power system[J].Power System Technology,2013,37(10):2697-2704.
• [20] SABER A Y,VENAYAGAMOORTHY G K. Plug-in vehicles and renewable energy sources for cost and emission reductions[J].IEEE Transactions on Industrial Electronics,2011,58(4):1229-1238.
• [21]冉晓洪，周任军，李湘华，等.计及等排性能系数的冷热电多联供环境经济调度[J].电力自动化设备，2013,33(9):94-99.RAN Xiaohong,ZHOU Renjun,LI Xianghua,et al.Environmental economic dispatch considering equal emission performance coefficient for CCHP[J].Electric Power Automation Equipment,2013,33(9):94-99.
• [22]陈凯玲，顾闻，王海群.考虑出力外特性的虚拟电厂多目标优化调度[J].广东电力，2021,34(3):42-49.CHEN Kailing,GU Wen,WANG Haiqun.Multi-objective optimal scheduling of virtual power plant considering external output characteristics[J]. Guangdong Electric Power,2021,34(3):42-49.