徐谦,孙轶恺,刘亮东,章坚民,张利军,朱国荣
XU Qian,SUN Yikai,LIU Liangdong,ZHANG Jianmin,ZHANG Lijun,ZHU Guorong

• 1:国网浙江省电力有限公司经济技术研究院
• 2:杭州电子科技大学自动化学院

摘要(Abstract)：

储能电站日益成为现代电力系统的一种新型功能综合体和可独立核算的经济实体。首先通过案例分析,对未来储能电站的几类核心储能技术的技术成熟度、工程成熟度和应用条件进行分析;然后介绍了储能电站的通用分类方法,并指出其缺陷;继而提出面向电力生产、传输、使用全过程的储能电站场景分类综述,并讨论了其评价目标和通用评价过程,以实现储能电站复合功能应用的经济技术评价。
Energy storage station(ESS) is becoming a new comprehensive function unit and an independent accounting entity in the modern power system. At first, the real ESS cases are analyzed to demonstrate the corresponding technology and engineering maturities and application conditions; then, the general classification of ESS is discussed where the shortcomings of such classification was pointed out; to overcome them, a whole processing oriented application scenarios classification is reviewed over the electricity generation,transmission, utilization, in which assessment objective function setting and general evaluation for ESS are also discussed to meet the requirement of comprehensive functional application of ESS.

关键词(KeyWords)： 储能电站;功能分析;应用场景;评价目标;评价过程
energy storage station;functional analysis;application scenario;evaluation object;evaluation process

Abstract:

Keywords:

基金项目(Foundation): 国网浙江省电力有限公司科技项目

作者(Author): 徐谦,孙轶恺,刘亮东,章坚民,张利军,朱国荣
XU Qian,SUN Yikai,LIU Liangdong,ZHANG Jianmin,ZHANG Lijun,ZHU Guorong

DOI: 10.19585/j.zjdl.201905001

参考文献(References)：

• [1]VAZQUEZ S,LUKIC S,GALVAN E,et al.Energy Storage Systems for Transport and Grid Applications[J].IEEETransactions on Industrial Electronics,2010,57(12):3881-3895.
• [2]罗星,王吉红,马钊.储能技术综述及其在智能电网中的应用展望[J].智能电网,2014,2(1):7-12.
• [3]国家电网公司“电网新技术前景研究”项目咨询组.大规模储能技术在电力系统中的应用前景分析[J].电力系统自动化,2013,37(1):3-8.
• [4]徐国栋,程浩忠,马紫峰,等.用于缓解电网调峰压力的储能系统规划方法综述[J].电力自动化设备,2017,37(8):3-11.
• [5]AKHIL A,HUFF G,CURRIER A,et al.DOE/EPRI Elec tricity Storage Handbook in Collaboration with NRECA[R].[S.l.∶s.n.],2015.
• [6]王承民,孙伟卿,衣涛,等.智能电网中储能技术应用规划及其效益评估方法综述[J].中国电机工程学报,2013,33(7):33-41.
• [7]朱文韵.全球储能产业发展动态综述[J].上海节能,2018(1):2-8.
• [8]吴善进,崔承刚,杨宁,等.融资租赁模式下储能电站项目的经济效益与风险分析[J].储能科学与技术,2018,7(6):1217-1225.
• [9]文贤馗,张世海,王锁斌.压缩空气储能技术及示范工程综述[J].应用能源技术,2018(3):43-48.
• [10]方彤,王乾坤,周原冰.电池储能技术在电力系统中的应用评价及发展建议[J].能源技术经济,2011,23(11):32-36.
• [11]李相俊,王上行,惠东.电池储能系统运行控制与应用方法综述及展望[J].电网技术,2017,41(10):3315-3325.
• [12]周林,黄勇,郭珂,等.微电网储能技术研究综述[J].电力系统保护与控制,2011,39(7):147-152.
• [13]徐国栋,程浩忠,马紫峰,等.用于平滑风电出力的储能系统运行与配置综述[J].电网技术,2017,41(11):3470-3479.
• [14]周强,汪宁渤,冉亮,等.高弃风弃光背景下中国新能源发展总结及前景探究[J].中国电力,2016,49(9):7-12.
• [15]HESSAMI M A,BOWLY D R.Economic feasibility and optimization of an energy storage system for Portland wind farm[J].Applied Energy,2011,88:2755-2763.
• [16]刘畅,徐玉杰,张静,等.储能经济性研究进展[J].储能科学与技术,2017,6(5):1084-1093.
• [17]钱琪琪.应用于风电场的储能系统综合评估研究[D].北京:华北电力大学,2016.
• [18]赵娜,高赟.分布式光伏+储能电站模式与经济性分析[J].太阳能,2017(12):17-25.
• [19]颜志敏,王承民,郑健,等.配电网中蓄电池储能系统的价值评估模型[J].电力自动化设备,2013,33(2):57-61.
• [20]DVORKIN Y,FERNANDEZ-BLANCO R,KIRSCHEN S,et al.Ensuring profitability of energy storage[J].IEEE Transactions on Power Systems,2016,32(1):611-623.
• [21]ZHANG N,KAND C,KIRSCHEN S,et al.Planning pumped storage capacity for wind power integration[J].IEEE Transactions on Sustainable Energy,2013,4(2):393-401.
• [22]ZHANG N,LU X,MCELROY M B,et al.Reducing curtailment of wind electricity in China by employing electric boilers for heat and pumped hydro for energy storage[J].Applied Energy,2016(184):987-994.
• [23]韩晓娟,艾瑶瑶,李相俊.储能在电网中的应用价值及其商业模式[J].发电技术,2018,39(1):77-83.
• [24]刘静琨,张宁,康重庆.电力系统云储能研究框架与基础模型[J].中国电机工程学报,2017,37(12):3361-3371.
• [25]谢东亮,薛峰,宋晓芳.直流互联下含储电力系统调峰的优化及仿真分析[J].电力系统自动化,2018,42(5):72-79.
• [26]JABR R A,DZAFIC I,PAL B C.Robust optimization of storage investment on transmission networks[J].IEEE Transactions on Power Systems,2015,30(1):531-539.
• [27]李建林,王上行,袁晓冬,等.江苏电网侧电池储能电站建设运行的启示[J].电力系统自动化,2018,42(21):1-10.
• [28]KROPOSKI B,JOHNSON B,ZHANG Y,et al.Achieving a100%renewable grid:operating electric power systems with extremely high levels of variable renewable energy[J].IEEEPower&Energy Magazine,2017,15(2):61-73.
• [29]李姚旺,苗世洪,罗星,等.含压缩空气储能电力系统日前-日内协调调度策略[J].中国电机工程学报,2018,38(10):2849-2860.
• [30]罗超,杨军,孙元章,等.考虑备用容量优化分配的含风电电力系统动态经济调度[J].中国电机工程学报,2014,34(34):6109-6118.
• [31]XUAN Y,ZHANG J M.Combinational linear programming approach for daily optimal operation of customers with DG/ESS under TOU pricing for customer EMS software applications[C].International Conference on Innovative Smart Grid Technologies,ISGT Asia 2018,Singapore.
• [32]颜志敏.智能电网中蓄电池储能的价值评估研究[D].上海:上海交通大学,2012.
• [33]RAHUL W,JAY A,RICK M.Economics of electric energy storage for energy arbitrage and regulation in New York[J].Energy Policy,2007,35(4):2558-2568.
• [34]熊雄,杨仁刚,叶林,等.电力需求侧大规模储能系统经济性评估[J].电工技术学报,2013,28(9):224-230.
• [35]李建林,徐少华,靳文涛.我国电网侧典型兆瓦级大型储能电站概况综述[J].电器与能效管理技术,2017(13):1-7.
• [36]ZHANG T,Alexander E,Emanuel,et al.Distribution Feeder Upgrade Deferral Through use of Energy Storage Systems[C].IEEE Power and Energy Society General Meeting(PESGM).2016:1-5.
• [37]OUDALOV A,CHARTOUNI D,OHLER C,et al.Value analysis of battery energy storage applications in power systems[C]//IEEE Power System Conference and Exposition.Atlanta,Georgia,USA,2006:2206-2211.
• [38]刘大贺,韩晓娟,李建林.基于光伏电站场景下的梯次电池储能经济性分析[J].电力工程技术,2017,36(6):27-31.
• [39]张国玉,洪超,陈杜琳,等.面向储能电站调度的光储发电系统运行优化策略研究[J].电力工程技术,2017,36(3):50-56.
• [40]曹柳青,王默玉,申晓留,等.京津冀区域能源互联网研究[J].电网与清洁能源,2017,33(3):125-130.