基于大数据的抽水蓄能服务电网研究与模型应用探索
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摘要
抽水蓄能电站是电网中一种具有灵活运行特性、储能特质和事故安全备用的特殊电源,随着我国经济社会发展和能源结构调整,我国电力系统电源结构、电网规模、负荷特点、供需状况、跨区(省)输送和新能源发展发生根本性改变。本文在梳理了我国电力、抽蓄发展历程的基础上,基于电网侧、电站侧及互联网等数据,利用大数据技术手段,电网需求为导向,充分考虑了各区域电网差异性,提出了"基本功能—应用场景—服务定位多维时间尺度抽水蓄能服务电网模型"(简称FAS-T模型),利用时间尺度精准定位抽水蓄能的功能,从电网应用场景明确抽蓄在某一阶段所起到的作用,从宏观角度确定抽水蓄能的服务定位,从而形成一套规律可循的抽水蓄能服务电网功能定位理论模型。
Pumped storage power station is a special power source with flexible operation characteristics, energy storage characteristics and accident safety backup. With the economic and social development and energy structure adjustment in China, China's power system power supply structure, power grid scale, load characteristics, supply and demand situation Sub-regional(provincial) transportation and new energy development have undergone fundamental changes. Based on the development history of China's electric power and pumping storage, based on the data of power grid side, power station side and Internet, this paper uses big data technology to guide the grid demand, fully considers the differences of regional power grids, and puts forward the basics. Function-application scenario-service positioning multi-dimensional time-scale pumped storage energy service grid mode(l FAS-T model for short), using time scale to accurately locate the function of pumped storage, clear from the grid application scenario at a certain stage The role of the service location of pumped storage is determined from a macroscopic perspective, thus forming a set of theoretical model for the functional positioning of the pumped storage service grid.
Pumped storage power station is a special power source with flexible operation characteristics, energy storage characteristics and accident safety backup. With the economic and social development and energy structure adjustment in China, China's power system power supply structure, power grid scale, load characteristics, supply and demand situation Sub-regional(provincial) transportation and new energy development have undergone fundamental changes. Based on the development history of China's electric power and pumping storage, based on the data of power grid side, power station side and Internet, this paper uses big data technology to guide the grid demand, fully considers the differences of regional power grids, and puts forward the basics. Function-application scenario-service positioning multi-dimensional time-scale pumped storage energy service grid mode(l FAS-T model for short), using time scale to accurately locate the function of pumped storage, clear from the grid application scenario at a certain stage The role of the service location of pumped storage is determined from a macroscopic perspective, thus forming a set of theoretical model for the functional positioning of the pumped storage service grid.
引文
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[12]黄越辉,王跃峰.德国新能源消纳的经验与启示[J].国家电网,2017,168(7):83-85.HUANG Yuehui,WANG Yuefeng.Experience and Implications of New Energy Digestion of Germany[J].State Grid,2017,168(7):83-85.
[13]王飞,德国与西班牙风电消纳对中国的启示[J].能源与节能2016,124(1):78-80.WANG Fei.Implications of Wind Power Digestion of Germany and Spain to China[J].Energy and Energy Conservation,2016,124(1):78-80.
[2]魏敏,孙勇,罗艳.基于大数据分析的抽水蓄能电站服务华东电网能力探索[C].抽水蓄能电站工程建设文集2017,北京,中国电力出版社,2017.
[3]林铭山.抽水蓄能发展与技术应用综述[J].水电与抽水蓄能,2018,4(1):1-5.LIN Mingshan.Survey on Development and Technology Application of Pumped Storage[J].Hydropower and Pumped Storage,2018,4(1):1-5.
[4]国家能源局中国电力企业联合会2017年全国电力可靠性年度报告[R].2017.National Energy Administration China Electricity Council,2017National Electricity Reliability Annual Report[R].2017.
[5]国家电网.促进新能源发展白皮书2018[R].2018.National Grid,Promoting New Energy Development White Paper 2018[R].2018.
[6]张爱国.基于大数据的数据挖掘技术与应用[J].现代工业经济和信息化,2017,7(3):86-87.ZHANG Aiguo.Data mining technology and application based on big data[J].Modern Industrial Economy and Informationization,2017,7(3):86-87.
[7]庞伟,王帆.抽水蓄能电站在电网运行中的地位与作用[J].水电与抽水蓄能,2015,1(4):1-4.PANG Wei,WANG Fan.The Position and Function of the Pumped Storage Power Station in Power Grid Operation[J].Hydropower and Pumped Storage,2015,1(4):1-4.
[8]卢锟明,赵文发,黄晓华.综合利用抽水蓄能电站初步探讨[J].水电与抽水蓄能,2017,3(6):58-62.LU Kunming,ZHAO Wenfa,HUANG Xiaohua.AComprehensive Utilization of Pumped Storage Power Station for Preliminary Discussion[J],Hydropower and Pumped Storage,2017,3(6):58-62.
[9]陈同法,张毅.抽水蓄能电站本质功能分析[J].水电与抽水蓄能,2017,3(2):76-80.CHEN Tongfa,ZHANG Yi.Analysis on the Essential Function of Pumped Storage Power Station[J],2017,3(2):76-80.
[10]刘攀,梁里鹏,樊建强.抽水蓄能电站在电力系统中的作用与发展[J].水电与新能源,2016,2016(11):18-20.LIU Pan,LIANG Lipeng,FAN Jianqiang.The Role and Development of the Pumped Storage Power Station in Electric Power System[J].Hydropower and New Energy,2016,2016(11):18-20.
[11]张正陵.中国“十三五”新能源并网消纳形势、对策研究及多情景运行模拟分析[J].中国电力,2018,51(1):2-8.ZHANG Zhengling.Research on Situation and Countermeasures of New Energy Integration in the 13th Five-year Plan Period and Its Multi-scenario Simulation[J].Electric Power,2018,51(1):2-8.
[12]黄越辉,王跃峰.德国新能源消纳的经验与启示[J].国家电网,2017,168(7):83-85.HUANG Yuehui,WANG Yuefeng.Experience and Implications of New Energy Digestion of Germany[J].State Grid,2017,168(7):83-85.
[13]王飞,德国与西班牙风电消纳对中国的启示[J].能源与节能2016,124(1):78-80.WANG Fei.Implications of Wind Power Digestion of Germany and Spain to China[J].Energy and Energy Conservation,2016,124(1):78-80.
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