Optimal Method of Energy Storage Configuration Considering Operation and Penalty Cost

Article Preview

Abstract:

An evaluating method for lifetime degradation degree of battery energy storage system (BESS) is proposed in this paper. Base on the method, relationships among capacity and degradation degree of lifetime of BESS, unmet reference power are analyzed. An evaluation index is then proposed considering operation cost of energy storage and penalty cost for failing to meet the reference power. Lastly, an optimal method for capacity configuration is developed and is verified in the study case.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

529-532

Citation:

Online since:

October 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[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