我国实施大规模需求响应的关键问题剖析与展望
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摘要
随着"互联网+智慧能源"的推进和电气信息技术的深度融合,电力需求响应业务也被赋予了诸如新能源消纳、辅助服务等新的使命,并面临着从紧急态向常态化的转型。目前我国电力需求响应试点项目建设已为需求响应业务发展积累了丰富经验,但在大规模复制推广方面还存在一些瓶颈。基于国内外需求响应发展现状,结合我国已经发布的相关政策、技术标准以及现有试点城市的建设情况,从政策机制保障、信息化支撑、平台部署及组织实施层面剖析当前所存在的问题,并结合实际工作情况尝试给出若干未来发展建议。
With advancement of "Internet plus Smart Energy" and deep integration of electrical information technology, power demand response business is endowed with new missions such as renewable energy accommodation and ancillary services. In future it will face a transition from emergent operation to normal operation. At present, construction of several pilot projects for demand response has accumulated rich experience for China's follow-up demand response business development, but there are still some bottlenecks in large-scale replication and promotion. Based on the situation from domestic and aboard, this paper analyzes existing problems in policy guarantees, information communication technology support and platform deployment according to practical work, i.e., published policy, technical specification and construction of demand response pilot cities.
With advancement of "Internet plus Smart Energy" and deep integration of electrical information technology, power demand response business is endowed with new missions such as renewable energy accommodation and ancillary services. In future it will face a transition from emergent operation to normal operation. At present, construction of several pilot projects for demand response has accumulated rich experience for China's follow-up demand response business development, but there are still some bottlenecks in large-scale replication and promotion. Based on the situation from domestic and aboard, this paper analyzes existing problems in policy guarantees, information communication technology support and platform deployment according to practical work, i.e., published policy, technical specification and construction of demand response pilot cities.
引文
[1]夏鑫.电力需求响应的推广与实践[J].供用电,2017,34(3):1-1.Xia Xin.The promotion and practice of power demand response[J].Distribution&Utilization,2017,34(3):1-1(in Chinese).
[2]祁兵,张荣,李彬,等.自动需求响应信息交换接口设计.中国电机工程学报,2014,34(31):5590-5596.Qi Bing,Zhang Rong,Li Bin,et al.Design of automated demand response information exchange interface[J.Proceedings of the CSEE,2014,34(31):5590-5596(in Chinese).
[3]祖向荣,白焰,阳建坤.基于复杂事件处理的用户需求响应性能实时监测分析[J].电网技术,2016,40(10):3220-3227.Zu Xiangrong,Bai Yan,Yang Jiankun.Real-time monitoring analysis of customer demand response performance based on complex event processing[J].Power System Technology,2016,40(10):3220-3227(in Chinese).
[4]中华人民共和国国家发展和改革委员会.电力发展“十三五”规划(2016-2020年)[EB/OL].(2016-12-22)[2018-03-15].http://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=398.
[5]国家能源局.2017年全国电力工业统计数据[EB/OL].(2018-01-22)[2018-03-10].http://www.nea.gov.cn/2018-01/22/c_136914154.htm.
[6]全国智能电网用户接口标准化技术委员会.电力需求响应系统通用技术规范:GB/T 32672-2016[S].北京:中国标准出版社,2016.
[7]全国智能电网用户接口标准化技术委员会.智能电网用户自动需求响应:分散式空调系统终端技术条件:GB/T 34116-2017[S].北京:中国标准出版社,2017.
[8]全国智能电网用户接口标准化技术委员会.电力需求响应系统功能规范:GB/T 35681-2017[S].北京:中国标准出版社,2017.
[9]全国智能电网用户接口标准化技术委员会.需求响应效果监测与综合效益评价导则:GB/T 32127-2015[S].北京:中国标准出版社.2015.
[10]杨晓东,张有兵,赵波,等.供需两侧协同优化的电动汽车充放电自动需求响应方法[J].中国电机工程学报,2017,37(1):120-130.Yang Xiaodong,Zhang Youbing,Zhao Bo,et al.Automated demand response method for electric vehicles charging and discharging to achieve supply-demand coordinated optimization[J].Proceedings of the CSEE,2017,37(1):120-130(in Chinese).
[11]王怡岚,童亦斌,黄梅,等.基于需求侧响应的空调负荷虚拟储能模型研究[J].电网技术.2017,41(2):394-401.Wang Yilan,Tong Yibin,Huang Mei,et al.Research on virtual energy storage model of air conditioning loads based on demand response[J].Power System Technology.2017,41(2):394-401(in Chinese).
[12]孙毅,周晋宇,李彬,等.基于启动时间延迟的家庭负荷管理优化策略[J].电力自动化设备,2017,37(2):83-89.Sun Yi,Zhou Jinyu,Li Bin,et al.Optimization strategy based on start-time delay for domestic load management[J].Electric Power Automation Equipment.2017,37(2):83-89(in Chinese).
[13]鞠立伟,秦超,吴鸿亮,等.计及多类型需求响应的风电消纳随机优化调度模型[J].电网技术,2015,39(7):1839-1846.Ju Liwei,Qin Chao,Wu Hongliang,et al.Wind power accommodation stochastic optimization model with multi-type demand response[J].Power System Technology,2015.39(7):1839-1846(in Chinese).
[14]沈运帷,李扬,高赐威,等.需求响应在电力辅助服务市场中的应用[J].电力系统自动化,2017,41(22):151-161.Shen Yunwei,Li Yang,Gao Ciwei,et al.Application of demand response in ancillary service market[J].Automation of Electric Power Systems,2017,41(22):151-161(in Chinese).
[15]California Public Utilities Commission.CPUC directs PG&E to seek bids for clean energy to replace three fossil fuel plants.docket#:Res E-4909[EB/OL].State of California:CPUC,2018.[2017-12-01].http://docs.cpuc.ca.gov/publisheddocs/published/g000/m205/k545/205545760.pdf.
[16]OpenADR Alliance.OPEN automated demand response communications specification(Version 1.0)[EB/OL].Morgan Hill:California Energy Commission,2009.[2015-12-06].https://drrc.lbl.gov/openadr.
[17]OpenADR Alliance.OpenADR2.0 profile specification a profile[EB/OL].Morgan Hill:California Energy Commission,2011-12.[2015-11-02].https://openadr.memberclicks.net/assets/DoNotChange/penadr%202%200a%20profile%20specification_v1.0.zip.
[18]OpenADR Alliance.OpenADR2.0 profile specification B profile[EB/OL].Morgan Hill:California Energy Commission,2013-07.[2015-12-21].https://openadr.memberclicks.net/assets/DoNotChange/openadr_2_0b_profile_specification_v1.1_package_public.zip.
[19]OpenADR Alliance.OpenADR:using OpenADR for DER[EB/OL].(2017-01-22)[2018-03-11].http://www.openadr.org/assets/doc s/openadr_der_factsheet_pdfx4.pdf.
[20]T&D World.Power Efficiency Corp.win 2-Year 12 MW bid in Con Edison BQDM auction[EB/OL].(2016-08-25)[2018-03-11].http://www.tdworld.com/smart-energy-consumer/power-efficiency-corp-win s-2-year-12-mw-bid-con-edison-bqdm-auction.
[21]Zhang X,Fields R L,Abreu K.Financial benefits of implementing Demand Response in CAISO market[C]//IEEE Power and Energy Society General Meeting.Providence,RI,USA:IEEE,2010:1-3.
[22]Hao H,Lin Y,Kowli A S,et al.Ancillary service to the grid through control of fans in commercial building HVAC systems[J].IEEETransactions on Smart Grid,2014,5(4):2066-2074.
[23]White C D,Zhang K M.Using vehicle-to-grid technology for frequency regulation and peak-load reduction[J].Journal of Power Sources,2011,196(8):3972-3980.
[24]Heydarian-Forushani E,Moghaddam M P,Sheikh-El-Eslami M K,et al.Risk-constrained offering strategy of wind power producers considering intraday demand response exchange[J].IEEETransactions on Sustainable Energy,2017,5(4):1036-1047.
[25]Samadi P,Mohsenian-Rad H,Wong V W S,et al.Real-time pricing for demand response based on stochastic approximation[J].IEEETransactions on Smart Grid,2017,5(2):789-798.
[26]闫华光,陈宋宋,李世豪,等.需求响应发展现状及趋势研究[J].供用电,2017,34(3):2-8.Yan Huaguang,Chen Songsong,Li Shihao,et al.Research on the current situation and development trend of demand response[J].Distribution&Utilization.34(3):2-8(in Chinese).
[27]Yao M,Hu Zhaoguang,Zhang N,et al.Low-carbon benefits analysis of energy-intensive industrial demand response resources for ancillary services[J].Journal of Modern Power Systems&Clean Energy,2015,3(1):131-138.
[28]高赐威,董力,孙玲玲,等.售电侧放开下的需求响应[J].供用电,2017,34(3):21-25.Gao Ciwei,Dong Li,Sun Lingling,et al.Demand response under deregulated electric power retail market[J].Distribution&Utilization,2017,34(3):21-25(in Chinese).
[29]高志远,曹阳,田伟,等.需求响应概念模型及其实现架构研究[J].电力信息与通信技术,2016,14(11):8-13.Gao Zhiyuan,Cao Yang,Tian Wei.Research on conceptual model of demand response and its implementation architecture[J].Electric Power ICT,2016,14(11):8-13(in Chinese).
[30]Shakeri M,Shayestegan M,Abunima H,et al.An intelligent system architecture in home energy management systems(HEMS)for efficient demand response in smart grid[J].Energy&Buildings,2017(138):154-164.
[31]孙建伟,唐升卫,刘菲,等.面向需求响应控制的家用电热水器建模和控制策略评估[J].电力系统及其自动化学报,2016,28(4):51-55.Sun Jianwei,Tang Shengwei,Liu Fei,et al.Modeling method and control strategy evaluation of electric water heater for demand response program[J].Proceedings of the CSU-EPSA,2016,28(4):51-55(in Chinese).
[32]宋梦,高赐威,苏卫华.面向需求响应应用的空调负荷建模及控制[J].电力系统自动化,2016,40(14):158-167.Song Meng,Gao Ciwei,Su Weihua.Modeling and controlling of air-conditioning load for demand response applications[J].Automation of Electric Power System,2016,40(14):158-167(in Chinese).
[33]侯建朝,胡群丰,谭忠富.计及需求响应的风电-电动汽车协同调度多目标优化模型[J].电力自动化设备,2016,36(7):22-27.Hou Jianchao,Hu Qunfeng,Tan Zhongfu.Multi-objective optimization model of collaborative WP-EV dispatch considering demand response[J].Electric Power Automation Equipment,2016,36(7):22-27(in Chinese).
[34]高赐威,曹晓峻,闫华光,等.数据中心电能管理及参与需求侧资源调度的展望[J].电力系统自动化,2017,41(23):1-7.Gao Ciwei,Cao Xiaojun,Yan Huaguang,et al.Energy management of data center and prospect for participation in demand side resource scheduling[J].Automation of Electric Power System,2017,41(23):1-7(in Chinese).
[35]Sevlian R,Rajagopal R.A scaling law for short term load forecasting on varying levels of aggregation[J].International Journal of Electrical Power&Energy Systems,2018(98):350-361.
[36]李彬,贾滨诚,曹望璋,等.边缘计算在电力需求响应业务中的应用展望[J].电网技术,2018,42(1):79-87.Li Bin,Jia Bincheng,Cao Wangzhang,et al.Application prospect of edge computing in power demand response business[J].Power System Technology,2018,42(1):79-87(in Chinese).
[37]张铁峰,张旭,赵云,等.OpenADR2.0标准架构及应用[J].电力科学与工程,2017,33(3):55-60.Zhang Tiefeng,Zhang Xu,Zhao Yun,et al.A review of standard architecture and application of OpenADR2.0[J].Electric Power Science and Engineering,2017,33(3):55-60(in Chinese).
[38]高赐威,梁甜甜,李慧星,等.开放式自动需求响应通信规范的发展和应用综述[J].电网技术,2013,37(3):692-698.Gao Ciwei,Liang Tiantian,Li Huixing,et al.Development and application of open automated demand Response[J].Power System Technology,2013,37(3):362-368(in Chinese).
[39]Andrén F P,Strasser T,Kastner W.Applying the SGAM methodology for rapid prototyping of smart Grid applications[C]//Industrial Electronics Society,IECON 2016-Conference of the IEEE.IEEE,2016:3812-3818.
[40]Rahman M S,Basu A,Kiyomoto S,et al.Privacy-friendly secure bidding for smart grid demand-response[J].Information Sciences,2016(379):229-240.
[41]Gong Y,Cai Y,Guo Y,et al.A privacy-preserving scheme for incentive-based demand response in the smart grid[J].IEEETransactions on Smart Grid,2017,7(3):1304-1313.
[42]李彬,卢超,陈宋宋,等.面向电力需求响应业务的P圈保护算法[J].电力系统自动化,2017,41(23):8-14.Li Bin,Lu Chao,Cheng Songsong,et al.P-cycle protection algorithm oriented to demand response service[J].Automation of Electric Power Systems,2017,41(23):8-14(in Chinese).
[43]曹望璋.基于多代理技术的需求响应资源预留策略研究[D].北京:华北电力大学,2018.
[44]姜勇,杨雪纯,王蓓蓓,等.计及需求响应不确定性的智能用电双向互动仿真[J].电力系统及其自动化学报,2016,28(9):48-55.Jiang Yong,Yang Xuechun,Wang Beibei,et al.Simulation of smart power consumption and bilateral interaction considering uncertainty of demand response[J].Proceedings of the CSU-EPSA,2016,28(9):48-55(in Chinese).
[45]张硕,曾鸣,李英姿,等.新能源电力系统用户需求响应复杂适应行为研究[J].电力建设,2017,38(11):136-143.Zhang Shuo,Zeng Ming,Li Yingzi,et al.Complex adaptive behaviors of user’s demand response in renewable energy power system[J].Electric Power Construction,2017,38(11):136-143(in Chinese).
[46]朱文超.计及用户响应不确定性的负荷聚合商运营决策模型研究[D].北京:华北电力大学,2016.
[47]沈瑜,岳园园,闫华光,等.地区电网需求响应资源聚合与调控策略研究[J].电网技术,2017,41(10):3341-3347.Shen Yu,Yue Yuanyuan,Yan Huaguang,et al.Research on aggregation and optimization strategies of demand response resources for district power grid[J].Power System Technology,2017,41(10):3341-3347(in Chinese).
[48]史俊祎,文福拴,崔鹏程,等.参与需求响应的工业用户智能用电管理[J].电力系统自动化,2017,41(14):45-53.Shi Junyi,Wen Fushuan,Cui Pengcheng,et al.Intelligent energy management of industrial loads considering participation in demand response program[J].Automation of Electric Power Systems,2017,41(14):45-53(in Chinese).
[49]许鹏,孙毅,石墨,等.负荷态势感知:概念、架构及关键技术[J].中国电机工程学报,DOI:10.13334/j.0258-8013.pcsee.171328.Xu Peng,Sun Yi,Shi Mo,et al.Load situation awareness:concept,framework,and key technologies[J].Proceedings of the CSEE,DOI:10.13334/j.0258-8013.pcsee.171328(in Chinese).
[50]李彬,卢超,曹望璋,等.基于区块链技术的自动需求响应系统应用初探.中国电机工程学报,2017,37(13):3691-3702.Li Bin,Lu Chao,Cao Wangzhang,et al.A preliminary study of block chain based automated demand response system[J].Proceedings of the CSEE,2017,37(13):3691-3702(in Chinese).
[51]黄甜.面向智能电网的电力需求响应商业运作模式研究[D].南京:东南大学,2016.
[52]梁茜.智能用电环境下的工业用户双向互动需求响应技术研究[D].南京:东南大学,2013.
[53]祁兵,柏慧,陈宋宋,等.基于互联网家电的需求响应聚合系统信息接口研究与设计[J].电网技术,2016,40(12):3918-3922.Qi Bing,Bai Hui,Chen Songsong,et al.Research and design of aggregate system information interface based on demand response of internet appliance[J].Power System Technology.2016,40(12):3918-3922(in Chinese).
[54]陆俊,朱炎平,彭文昊,等.计及用电行为聚类的智能小区互动化需求响应方法[J].电力系统自动化,2017,41(17):113-120.Lu Jun,Zhu Yanping,Peng Wenhao,et al.Interactive demand response method of smart community considering clustering of electricity consumption behavior[J].Automation of Electric Power Systems,2017,41(17):113-120(in Chinese).
[2]祁兵,张荣,李彬,等.自动需求响应信息交换接口设计.中国电机工程学报,2014,34(31):5590-5596.Qi Bing,Zhang Rong,Li Bin,et al.Design of automated demand response information exchange interface[J.Proceedings of the CSEE,2014,34(31):5590-5596(in Chinese).
[3]祖向荣,白焰,阳建坤.基于复杂事件处理的用户需求响应性能实时监测分析[J].电网技术,2016,40(10):3220-3227.Zu Xiangrong,Bai Yan,Yang Jiankun.Real-time monitoring analysis of customer demand response performance based on complex event processing[J].Power System Technology,2016,40(10):3220-3227(in Chinese).
[4]中华人民共和国国家发展和改革委员会.电力发展“十三五”规划(2016-2020年)[EB/OL].(2016-12-22)[2018-03-15].http://zfxxgk.ndrc.gov.cn/web/iteminfo.jsp?id=398.
[5]国家能源局.2017年全国电力工业统计数据[EB/OL].(2018-01-22)[2018-03-10].http://www.nea.gov.cn/2018-01/22/c_136914154.htm.
[6]全国智能电网用户接口标准化技术委员会.电力需求响应系统通用技术规范:GB/T 32672-2016[S].北京:中国标准出版社,2016.
[7]全国智能电网用户接口标准化技术委员会.智能电网用户自动需求响应:分散式空调系统终端技术条件:GB/T 34116-2017[S].北京:中国标准出版社,2017.
[8]全国智能电网用户接口标准化技术委员会.电力需求响应系统功能规范:GB/T 35681-2017[S].北京:中国标准出版社,2017.
[9]全国智能电网用户接口标准化技术委员会.需求响应效果监测与综合效益评价导则:GB/T 32127-2015[S].北京:中国标准出版社.2015.
[10]杨晓东,张有兵,赵波,等.供需两侧协同优化的电动汽车充放电自动需求响应方法[J].中国电机工程学报,2017,37(1):120-130.Yang Xiaodong,Zhang Youbing,Zhao Bo,et al.Automated demand response method for electric vehicles charging and discharging to achieve supply-demand coordinated optimization[J].Proceedings of the CSEE,2017,37(1):120-130(in Chinese).
[11]王怡岚,童亦斌,黄梅,等.基于需求侧响应的空调负荷虚拟储能模型研究[J].电网技术.2017,41(2):394-401.Wang Yilan,Tong Yibin,Huang Mei,et al.Research on virtual energy storage model of air conditioning loads based on demand response[J].Power System Technology.2017,41(2):394-401(in Chinese).
[12]孙毅,周晋宇,李彬,等.基于启动时间延迟的家庭负荷管理优化策略[J].电力自动化设备,2017,37(2):83-89.Sun Yi,Zhou Jinyu,Li Bin,et al.Optimization strategy based on start-time delay for domestic load management[J].Electric Power Automation Equipment.2017,37(2):83-89(in Chinese).
[13]鞠立伟,秦超,吴鸿亮,等.计及多类型需求响应的风电消纳随机优化调度模型[J].电网技术,2015,39(7):1839-1846.Ju Liwei,Qin Chao,Wu Hongliang,et al.Wind power accommodation stochastic optimization model with multi-type demand response[J].Power System Technology,2015.39(7):1839-1846(in Chinese).
[14]沈运帷,李扬,高赐威,等.需求响应在电力辅助服务市场中的应用[J].电力系统自动化,2017,41(22):151-161.Shen Yunwei,Li Yang,Gao Ciwei,et al.Application of demand response in ancillary service market[J].Automation of Electric Power Systems,2017,41(22):151-161(in Chinese).
[15]California Public Utilities Commission.CPUC directs PG&E to seek bids for clean energy to replace three fossil fuel plants.docket#:Res E-4909[EB/OL].State of California:CPUC,2018.[2017-12-01].http://docs.cpuc.ca.gov/publisheddocs/published/g000/m205/k545/205545760.pdf.
[16]OpenADR Alliance.OPEN automated demand response communications specification(Version 1.0)[EB/OL].Morgan Hill:California Energy Commission,2009.[2015-12-06].https://drrc.lbl.gov/openadr.
[17]OpenADR Alliance.OpenADR2.0 profile specification a profile[EB/OL].Morgan Hill:California Energy Commission,2011-12.[2015-11-02].https://openadr.memberclicks.net/assets/DoNotChange/penadr%202%200a%20profile%20specification_v1.0.zip.
[18]OpenADR Alliance.OpenADR2.0 profile specification B profile[EB/OL].Morgan Hill:California Energy Commission,2013-07.[2015-12-21].https://openadr.memberclicks.net/assets/DoNotChange/openadr_2_0b_profile_specification_v1.1_package_public.zip.
[19]OpenADR Alliance.OpenADR:using OpenADR for DER[EB/OL].(2017-01-22)[2018-03-11].http://www.openadr.org/assets/doc s/openadr_der_factsheet_pdfx4.pdf.
[20]T&D World.Power Efficiency Corp.win 2-Year 12 MW bid in Con Edison BQDM auction[EB/OL].(2016-08-25)[2018-03-11].http://www.tdworld.com/smart-energy-consumer/power-efficiency-corp-win s-2-year-12-mw-bid-con-edison-bqdm-auction.
[21]Zhang X,Fields R L,Abreu K.Financial benefits of implementing Demand Response in CAISO market[C]//IEEE Power and Energy Society General Meeting.Providence,RI,USA:IEEE,2010:1-3.
[22]Hao H,Lin Y,Kowli A S,et al.Ancillary service to the grid through control of fans in commercial building HVAC systems[J].IEEETransactions on Smart Grid,2014,5(4):2066-2074.
[23]White C D,Zhang K M.Using vehicle-to-grid technology for frequency regulation and peak-load reduction[J].Journal of Power Sources,2011,196(8):3972-3980.
[24]Heydarian-Forushani E,Moghaddam M P,Sheikh-El-Eslami M K,et al.Risk-constrained offering strategy of wind power producers considering intraday demand response exchange[J].IEEETransactions on Sustainable Energy,2017,5(4):1036-1047.
[25]Samadi P,Mohsenian-Rad H,Wong V W S,et al.Real-time pricing for demand response based on stochastic approximation[J].IEEETransactions on Smart Grid,2017,5(2):789-798.
[26]闫华光,陈宋宋,李世豪,等.需求响应发展现状及趋势研究[J].供用电,2017,34(3):2-8.Yan Huaguang,Chen Songsong,Li Shihao,et al.Research on the current situation and development trend of demand response[J].Distribution&Utilization.34(3):2-8(in Chinese).
[27]Yao M,Hu Zhaoguang,Zhang N,et al.Low-carbon benefits analysis of energy-intensive industrial demand response resources for ancillary services[J].Journal of Modern Power Systems&Clean Energy,2015,3(1):131-138.
[28]高赐威,董力,孙玲玲,等.售电侧放开下的需求响应[J].供用电,2017,34(3):21-25.Gao Ciwei,Dong Li,Sun Lingling,et al.Demand response under deregulated electric power retail market[J].Distribution&Utilization,2017,34(3):21-25(in Chinese).
[29]高志远,曹阳,田伟,等.需求响应概念模型及其实现架构研究[J].电力信息与通信技术,2016,14(11):8-13.Gao Zhiyuan,Cao Yang,Tian Wei.Research on conceptual model of demand response and its implementation architecture[J].Electric Power ICT,2016,14(11):8-13(in Chinese).
[30]Shakeri M,Shayestegan M,Abunima H,et al.An intelligent system architecture in home energy management systems(HEMS)for efficient demand response in smart grid[J].Energy&Buildings,2017(138):154-164.
[31]孙建伟,唐升卫,刘菲,等.面向需求响应控制的家用电热水器建模和控制策略评估[J].电力系统及其自动化学报,2016,28(4):51-55.Sun Jianwei,Tang Shengwei,Liu Fei,et al.Modeling method and control strategy evaluation of electric water heater for demand response program[J].Proceedings of the CSU-EPSA,2016,28(4):51-55(in Chinese).
[32]宋梦,高赐威,苏卫华.面向需求响应应用的空调负荷建模及控制[J].电力系统自动化,2016,40(14):158-167.Song Meng,Gao Ciwei,Su Weihua.Modeling and controlling of air-conditioning load for demand response applications[J].Automation of Electric Power System,2016,40(14):158-167(in Chinese).
[33]侯建朝,胡群丰,谭忠富.计及需求响应的风电-电动汽车协同调度多目标优化模型[J].电力自动化设备,2016,36(7):22-27.Hou Jianchao,Hu Qunfeng,Tan Zhongfu.Multi-objective optimization model of collaborative WP-EV dispatch considering demand response[J].Electric Power Automation Equipment,2016,36(7):22-27(in Chinese).
[34]高赐威,曹晓峻,闫华光,等.数据中心电能管理及参与需求侧资源调度的展望[J].电力系统自动化,2017,41(23):1-7.Gao Ciwei,Cao Xiaojun,Yan Huaguang,et al.Energy management of data center and prospect for participation in demand side resource scheduling[J].Automation of Electric Power System,2017,41(23):1-7(in Chinese).
[35]Sevlian R,Rajagopal R.A scaling law for short term load forecasting on varying levels of aggregation[J].International Journal of Electrical Power&Energy Systems,2018(98):350-361.
[36]李彬,贾滨诚,曹望璋,等.边缘计算在电力需求响应业务中的应用展望[J].电网技术,2018,42(1):79-87.Li Bin,Jia Bincheng,Cao Wangzhang,et al.Application prospect of edge computing in power demand response business[J].Power System Technology,2018,42(1):79-87(in Chinese).
[37]张铁峰,张旭,赵云,等.OpenADR2.0标准架构及应用[J].电力科学与工程,2017,33(3):55-60.Zhang Tiefeng,Zhang Xu,Zhao Yun,et al.A review of standard architecture and application of OpenADR2.0[J].Electric Power Science and Engineering,2017,33(3):55-60(in Chinese).
[38]高赐威,梁甜甜,李慧星,等.开放式自动需求响应通信规范的发展和应用综述[J].电网技术,2013,37(3):692-698.Gao Ciwei,Liang Tiantian,Li Huixing,et al.Development and application of open automated demand Response[J].Power System Technology,2013,37(3):362-368(in Chinese).
[39]Andrén F P,Strasser T,Kastner W.Applying the SGAM methodology for rapid prototyping of smart Grid applications[C]//Industrial Electronics Society,IECON 2016-Conference of the IEEE.IEEE,2016:3812-3818.
[40]Rahman M S,Basu A,Kiyomoto S,et al.Privacy-friendly secure bidding for smart grid demand-response[J].Information Sciences,2016(379):229-240.
[41]Gong Y,Cai Y,Guo Y,et al.A privacy-preserving scheme for incentive-based demand response in the smart grid[J].IEEETransactions on Smart Grid,2017,7(3):1304-1313.
[42]李彬,卢超,陈宋宋,等.面向电力需求响应业务的P圈保护算法[J].电力系统自动化,2017,41(23):8-14.Li Bin,Lu Chao,Cheng Songsong,et al.P-cycle protection algorithm oriented to demand response service[J].Automation of Electric Power Systems,2017,41(23):8-14(in Chinese).
[43]曹望璋.基于多代理技术的需求响应资源预留策略研究[D].北京:华北电力大学,2018.
[44]姜勇,杨雪纯,王蓓蓓,等.计及需求响应不确定性的智能用电双向互动仿真[J].电力系统及其自动化学报,2016,28(9):48-55.Jiang Yong,Yang Xuechun,Wang Beibei,et al.Simulation of smart power consumption and bilateral interaction considering uncertainty of demand response[J].Proceedings of the CSU-EPSA,2016,28(9):48-55(in Chinese).
[45]张硕,曾鸣,李英姿,等.新能源电力系统用户需求响应复杂适应行为研究[J].电力建设,2017,38(11):136-143.Zhang Shuo,Zeng Ming,Li Yingzi,et al.Complex adaptive behaviors of user’s demand response in renewable energy power system[J].Electric Power Construction,2017,38(11):136-143(in Chinese).
[46]朱文超.计及用户响应不确定性的负荷聚合商运营决策模型研究[D].北京:华北电力大学,2016.
[47]沈瑜,岳园园,闫华光,等.地区电网需求响应资源聚合与调控策略研究[J].电网技术,2017,41(10):3341-3347.Shen Yu,Yue Yuanyuan,Yan Huaguang,et al.Research on aggregation and optimization strategies of demand response resources for district power grid[J].Power System Technology,2017,41(10):3341-3347(in Chinese).
[48]史俊祎,文福拴,崔鹏程,等.参与需求响应的工业用户智能用电管理[J].电力系统自动化,2017,41(14):45-53.Shi Junyi,Wen Fushuan,Cui Pengcheng,et al.Intelligent energy management of industrial loads considering participation in demand response program[J].Automation of Electric Power Systems,2017,41(14):45-53(in Chinese).
[49]许鹏,孙毅,石墨,等.负荷态势感知:概念、架构及关键技术[J].中国电机工程学报,DOI:10.13334/j.0258-8013.pcsee.171328.Xu Peng,Sun Yi,Shi Mo,et al.Load situation awareness:concept,framework,and key technologies[J].Proceedings of the CSEE,DOI:10.13334/j.0258-8013.pcsee.171328(in Chinese).
[50]李彬,卢超,曹望璋,等.基于区块链技术的自动需求响应系统应用初探.中国电机工程学报,2017,37(13):3691-3702.Li Bin,Lu Chao,Cao Wangzhang,et al.A preliminary study of block chain based automated demand response system[J].Proceedings of the CSEE,2017,37(13):3691-3702(in Chinese).
[51]黄甜.面向智能电网的电力需求响应商业运作模式研究[D].南京:东南大学,2016.
[52]梁茜.智能用电环境下的工业用户双向互动需求响应技术研究[D].南京:东南大学,2013.
[53]祁兵,柏慧,陈宋宋,等.基于互联网家电的需求响应聚合系统信息接口研究与设计[J].电网技术,2016,40(12):3918-3922.Qi Bing,Bai Hui,Chen Songsong,et al.Research and design of aggregate system information interface based on demand response of internet appliance[J].Power System Technology.2016,40(12):3918-3922(in Chinese).
[54]陆俊,朱炎平,彭文昊,等.计及用电行为聚类的智能小区互动化需求响应方法[J].电力系统自动化,2017,41(17):113-120.Lu Jun,Zhu Yanping,Peng Wenhao,et al.Interactive demand response method of smart community considering clustering of electricity consumption behavior[J].Automation of Electric Power Systems,2017,41(17):113-120(in Chinese).