[1]
Swierczynski. M, Stroe. D, Stan. A, et al. The Lifetime of the LiFePO4/C Battery Energy Storage System When Used For Smoothing of the Wind Power Plant Variations, Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE.
DOI: 10.1109/iecon.2013.6700262
Google Scholar
[2]
Pan Wenxia, Fu Zhongxing, Wang Pengfei, el al. Analysis on battery capacity demand for wind farm smooth control based on wind power prediction[J]. Acta Energiae Solaris Sinica, 2013,34(3): 490-495.
Google Scholar
[3]
T. Tanabe, T. Sato, R. Tanikawa, el al. Generation scheduling for wind power generation by storage battery system and meteorological forecast[C]. Power and Energy Society General Meeting, 20-24 July 2008, Pittsburgh, USA: 1–7.
DOI: 10.1109/pes.2008.4596116
Google Scholar
[4]
Yan Gangui, Xie Guoqiang, Li Junhui, el al. Application of energy storage system in power system. Journal of Northeast Dianli University, 2011, 31(3): 7-12.
Google Scholar
[5]
Saurabh Tewari, Ned Mohan. Value of NAS energy storage toward integrating wind: Results from the wind to battery project [J]. IEEE Transactions On Power Systems, Vol. 28, No. 1, February (2013).
DOI: 10.1109/tpwrs.2012.2205278
Google Scholar
[6]
M. Khalid, A.V. Savkin. Minimization and control of battery energy storage for wind power smoothing: Aggregated, distributed and semi-distributed storage[J]. Renewable Energy 64 (2014) 105-112.
DOI: 10.1016/j.renene.2013.09.043
Google Scholar
[7]
Yang Shuili, Li Jianlin, Hui Dong, el al. Optimal Capacity Configuration of Battery Energy Storage System to Track Planned Output of Wind Farm[J]. Power System Technology, 2014, 6(38): 1485-1491.
DOI: 10.1109/powercon.2010.5666426
Google Scholar
[8]
Feng Jiangxia, Liang Jun, Zhang Feng, el al. An Optimization Calculation Method of Wind Farm Energy Storage Capacity[J]. Automation of Electric Power Systems, 2013, 37(1): 90-100.
Google Scholar