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虚拟电厂通过可调资源聚合技术、协调控制技术以及电力市场交易技术聚合电网中分散的可调资源,实现虚拟电厂与电网友好互动运行。首先,在虚拟电厂聚合建模技术方面,总结了可调资源响应能力评估技术以及参与不同类型市场品种的差异化资源聚合方法。然后,面向需求侧响应和电力现货市场,分析了不同类型虚拟电厂资源组织方式和市场参与方式。最后,分析了面向新型电力系统的虚拟电厂关键问题,对风险管控、外部环境和市场推动以及多方参与的安全问题进行了展望。
Abstract:By aggregating the scattered dispatchable resources in power grids through dispatchable resource aggregation technology,coordination and control technology,and power market trading technology,virtual power plants(VPPs)have brought about mutually interactive operation in a friendly manner. Firstly,the paper summarizes the responsiveness assessment technology for dispatchable resource and the differentiated resource aggregation methods for participation in power markets in terms of VPP-aggregated modeling technology. Secondly,it analyzes different modes of VPP resource organization and market participation aimed at demand-side response and power spot market.Lastly,the paper analyzes key issues of VPPs for new power systems and has a full view of risk management,external environment,market promotion,as well as security potentially incurred by multiparty participation.
[1]孙宏斌,潘昭光,孙勇,等.跨界思维在能源互联网中应用的思考与认识[J].电力系统自动化,2021,45(16):63-72.
[2]卫志农,余爽,孙国强,等.虚拟电厂的概念与发展[J].电力系统自动化,2013,37(13):1-9.
[3]艾芊.虚拟电厂-能源互联网的终极组态[M].北京:科学教育出版社,2018.
[4]ULLAH Z,MOKRYANI G,CAMPEAN F.Comprehensive review of VPPs planning,operation and scheduling considering the uncertainties related to renewable energy sources[J].IET Energy System Integration,2019,1(3):147-157.
[5]刘敦楠,庞博,宋莉,等.能源互联网环境下零售主体价值发现与实现策略[J].全球能源互联网,2020,3(6):618-625.
[6]国家发改委.还原绿色电力属性,助力“双碳”目标达成--《绿色电力交易试点工作方案》解读.[2021-09-27].https://www.ndrc.gov.cn/fggz/fgzy/xmtjd/202109/t20210927_1297840_ext.html.
[7]徐峰,何宇俊,李建标,等.考虑需求响应的虚拟电厂商业机制研究综述[J].电力需求侧管理,2019,21(3):2-6.
[8]张高.含多种分布式能源的虚拟电厂竞价策略与协调调度研究[D].上海:上海交通大学,2019.
[9]傅中兴,邹蓉蓉,王佳宁,等.商业型与技术型虚拟电厂优化调度技术研究[J].机电信息,2019(18):96-97.
[10]KIENY C,BERSENEFF B,HADJSAID N,et al.On the concept and the interest of virtual power plant:some results from the European project Fenix[C]//2009 IEEEPower&Energy Society General Meeting,July 26-30,2009,Calgary,Canada.New York:IEEE,2009:1-6.
[11]BINDING C,GANTENBEIN D,JANSEN B,et al.Electric vehicle fleet integration in the Danish EDISON project-a virtual power plant on the island of Bornholm[C]//IEEE PES General Meeting,July 25-29,2010,Minneapolis,USA.New York:IEEE,2010:1-8.
[12]李昭昱,艾芊,张宇帆,等.数据驱动技术在虚拟电厂中的应用综述[J].电网技术,2020,44(7):2411-2419.
[13]宁剑,江长明,张哲,等.可调节负荷资源参与电网调控的思考与技术实践[J].电力系统自动化,2020,44(17):1-8.
[14]赵钒卿.光伏组件工程解析模型及最大功率点跟踪研究[D].济南:山东大学,2016.
[15]毛颖卓.水-风-光微电网调频与功率平衡控制技术[D].广州:广东工业大学,2020.
[16]周金辉,徐琛,葛晓慧,等.基于模型预测控制的分布式热电联供系统优化调度[J].浙江电力,2017,36(5):23-28.
[17]王永权,张沛超,姚垚.聚合大规模空调负荷的信息物理建模与控制方法[J].中国电机工程学报,2019,39(22):6509-6521.
[18]CHEN X,HU Q,SHI Q,et al.Residential HVAC aggregation based on risk-averse multi-armed bandit learning for secondary frequency regulation[J].Journal of Modern Power Systems and Clean Energy,2020,8(6):1160-1167.
[19]杨萌,张粒子,吕建虎,等.面向灵活性的电能量与辅助服务日前市场联合出清模型[J].中国电力,2020,53(8):182-192.
[20]惠红勋.温控负荷参与电力系统动态响应的建模与控制方法研究[D].杭州:浙江大学,2020.
[21]ZHAO H,WANG B,PAN Z,et al.Aggregating additional flexibility from quick-start devices for multi-energy virtual power plants[J].IEEE Transactions on Sustainable Energy,2021,12(1):646-658.
[22]赵昊天,王彬,潘昭光,等.支撑云-群-端协同调度的多能园区虚拟电厂:研发与应用[J].电力系统自动化,2021,45(5):111-121.
[23]BABAEI S,ZHAO C,FAN L.A data-driven model of virtual power plants in day-ahead unit commitment[J].IEEETransactions on Power Systems,2019,34(6):5125-5135.
[24]刘丽军,罗宁,吴桐,等.基于混合整数二阶锥规划的考虑需求侧响应虚拟电厂优化调度[J].太阳能学报,2021,42(8):96-104.
[25]王功臣,邓长虹,夏沛,等.考虑机组优化选取的含风电电网滚动优化调度方法[J].电力系统自动化,2017,41(11):55-60.
[26]张涛,李逸鸿,郭玥彤,等.考虑虚拟电厂调度方式的售电公司多时间尺度滚动优化[J].电力系统保护与控制,2021,49(11):79-87.
[27]YIN S,AI Q,LI J,et al.Energy pricing and sharing strategy based on hybrid stochastic robust game approach for a virtual energy station with energy cells[J].IEEE Transactions on Sustainable Energy,2021,12(2):772-784.
[28]邱革非,余欣蓉,金乐婷,等.多虚拟电厂博弈的区域电网经济调度[J].电力系统及其自动化学报,2021,33(6):75-83.
[29]李咸善,方子健,李飞,等.含多微电网租赁共享储能的配电网博弈优化调度[J/OL].中国电机工程学报:1-15[2021-12-24].http://kns.cnki.net/kcms/detail/11.2107.TM.20211102.1814.007.html.
[30]吴盛军,李群,刘建坤,等.基于储能电站服务的冷热电多微网系统双层优化配置[J].电网技术,2021,45(10):3822-3832.
[31]马兰,谢丽蓉,叶林,等.基于混合储能双层规划模型的风电波动平抑策略[J].电网技术,2022,46(3):1016-1029.
[32]姜喜燕,张铁峰,张灏璠.基于合作网络的虚拟电厂资源选择方法[J].电力科学与工程,2020,36(6):43-49.
[33]吕佳炜,张沈习,程浩忠,等.考虑互联互动的区域综合能源系统规划研究综述[J].中国电机工程学报,2021,41(12):4001-4021.
[34]佘维,胡跃,杨晓宇,等.基于能源区块链网络的虚拟电厂运行与调度模型[J].中国电机工程学报,2017,37(13):3729-3736.
基本信息:
DOI:10.19585/j.zjdl.202206002
中图分类号:TM73;F426.61
引用信息:
[1]李鹏,蒋正威,邓一帆,等.虚拟电厂参与电力市场与调度控制技术研究综述[J],2022,41(06):8-14.DOI:10.19585/j.zjdl.202206002.
基金信息:
国网浙江省电力有限公司科技项目(5211DS20008M)