基于并网风电场的电池储能技术经济性分析

被引:3
作者
赵书奇 [1 ]
吴梦婕 [1 ]
廖强强 [1 ]
刘宇 [2 ]
支玉清 [3 ]
周国定 [1 ]
葛红花 [1 ]
机构
[1] 上海电力学院
[2] 中国科学院上海硅酸盐研究所
[3] 国家电网上海市电力公司
关键词
水性钠离子电池; 风电场; 储能; 技术经济分析;
D O I
暂无
中图分类号
TM614 [风能发电];
学科分类号
0807 ;
摘要
采用Energy PLAN软件研究了电源结构为火电和风电的能源体系中,水性钠离子电池(aqueous sodium-ion battery,ASIB)在该能源系统中的技术经济性。研究结果表明:随着风储容量比的降低,能源系统的临界过剩发电量(critical excesses electricity production,CEEP)的削减量逐渐增大,而且风电的渗透比例越高,消减的CEEP值越大;随着风储容量比的降低,能源系统的年度CO2排放量和年度燃料成本逐渐减少;权衡年度总成本和CEEP值2个指标,从技术经济方面考虑,风储容量比为2.5∶1~2∶1时最优。
引用
收藏
页码:131 / 135
页数:5
相关论文
共 12 条
[1]   含风储系统的有源配电网计划孤岛划分策略 [J].
翟彬 ;
商莹 ;
刘增训 ;
李仕明 .
电力建设, 2014, 35 (11) :122-126
[2]   基于移动平均法和风电波动率约束的电池储能系统平滑风电出力控制策略 [J].
陈跃燕 ;
李相俊 ;
韩晓娟 ;
梁廷婷 ;
惠东 .
电力建设, 2013, 34 (07) :1-5
[3]   美国Aquion Energy公司钠离子电池 [J].
贾旭平 .
电源技术, 2012, 36 (07) :925-927
[4]  
An aqueous electrolyte, sodium ion functional, large format energy storage device for stationary applications[J] . J.F. Whitacre,T. Wiley,S. Shanbhag,Y. Wenzhuo,A. Mohamed,S.E. Chun,E. Weber,D. Blackwood,E. Lynch-Bell,J. Gulakowski,C. Smith,D. Humphreys.Journal of Power Sources . 2012
[5]   Planning for a 100% independent energy system based on smart energy storage for integration of renewables and CO2 emissions reduction [J].
Krajacic, Goran ;
Duic, Neven ;
Zmijarevic, Zlatko ;
Mathiesen, Brian Vad ;
Vucinic, Aleksandra Anic ;
Carvalho, Maria da Graca .
APPLIED THERMAL ENGINEERING, 2011, 31 (13) :2073-2083
[6]   The role of compressed air energy storage (CAES) in future sustainable energy systems [J].
Lund, Henrik ;
Salgi, Georges .
ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (05) :1172-1179
[7]  
Energy system analysis of 100% renewable energy systems—The case of Denmark in years 2030 and 2050[J] . H. Lund,B.V. Mathiesen.Energy . 2008 (5)
[8]   Integration of renewable energy into the transport and electricity sectors through V2G [J].
Lund, Henrik ;
Kempton, Willett .
ENERGY POLICY, 2008, 36 (09) :3578-3587
[9]  
The effectiveness of storage and relocation options in renewable energy systems[J] . M.B. Blarke,H. Lund.Renewable Energy . 2007 (7)
[10]  
Large-scale integration of optimal combinations of PV, wind and wave power into the electricity supply[J] . H. Lund.Renewable Energy . 2005 (4)