A cost accounting method of the Li-ion battery energy storage system for frequency regulation considering the effect of life degradation

被引:84
作者
Yan G. [1 ]
Liu D. [1 ]
Li J. [1 ]
Mu G. [1 ]
机构
[1] Department of Electrical Engineering, Northeast Electric Power University, Jilin
关键词
Cost accounting method; Dead band; Energy storage system; Estimated operating life; Frequency regulation;
D O I
10.1186/s41601-018-0076-2
中图分类号
学科分类号
摘要
The cost of Energy Storage System (ESS) for frequency regulation is difficult to calculate due to battery’s degradation when an ESS is in grid-connected operation. To solve this problem, the influence mechanism of actual operating conditions on the life degradation of Li-ion battery energy storage is analyzed. A control strategy of Li-ion ESS participating in grid frequency regulation is constructed and a cost accounting model for frequency regulation considering the effect of battery life degradation is established. The estimated operating life and annual average cost of the Li-ion ESS under different dead bands and SOC set-points are calculated. The case studies show that the estimated operating life of the Li-ion ESS under the actual operating condition differs significantly from the nominal life provided by the manufacturer under the standard condition and the full discharge mode. This paper provides an accurate costing method for the ESS participating in grid frequency regulation to help the promotion of the ESS to participate in the ancillary service market. © 2018, The Author(s).
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共 18 条
[1]  
Ying W.A.N.G., Zhi Z.H.O.U., Audun B.O.T.T.E.R.U.D., Et al., Stochastic coordinated operation of wind and battery energy storage system considering battery degradation, Journal of Modern Power Systems and Clean Energy, 4, 4, pp. 1-12, (2016)
[2]  
Yan G., Zhu X., Junhui L.I., Et al., Control strategy design for hybrid energy storage system with intrinsic operation life measurement and calculation, Dianli Xitong Zi donghua/ automation of Electric Power Systems, 37, 1, pp. 110-114, (2013)
[3]  
Yang Y., Wei P., Wei D., Et al., Day-Ahead Scheduling Optimization for Microgrid with Battery Life Model[J], Transactions of China Electrotechnical Society, 30, 22, pp. 172-180, (2015)
[4]  
Xiao H., Pei W., Yang Y., Et al., Energy storage capacity optimization for microgrid considering battery life and economic operation, High Voltage Engineering, 41, 10, pp. 3256-3265, (2015)
[5]  
Lian B., Sims A., Yu D., Et al., Optimizing LiFePO4 battery energy storage Systems for Frequency Response in the UK system, IEEE Transactions on Sustainable Energy, 6, 1, pp. 253-262, (2016)
[6]  
Serban I., Marinescu C., Control strategy of three-phase battery energy storage Systems for Frequency Support in microgrids and with uninterrupted supply of local loads, IEEE Trans Power Electron, 29, 9, pp. 5010-5020, (2014)
[7]  
Xiang Y., Wei Z., Sun G., Et al., Life cycle cost based optimal configuration of battery energy storage system in distribution network, Power System Technology, 39, 1, pp. 264-270, (2015)
[8]  
RL F., MEYERS J., WEBBER M., A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas, Appl Energy, 113, pp. 189-198, (2014)
[9]  
Sutopo W., Atikah N., Purwanto A., Et al., A cost estimation model to assess the feasibility of Li-ion battery development based on targeted cost by market approach, International Conference on Electrical Engineering and Computer Science. IEEE, pp. 376-380, (2015)
[10]  
SWIERCZYNSKI M., STROE D., STAN A., Et al., Selection and performance degradation modeling of Li MO2/Li4Ti5O12 and Li Fe PO4/C battery cells as suitable energy storage systems for grid integration with wind power plants: An example for the primary frequency service, IEEE Transactions on Sustainable Energy, 5, 1, pp. 90-100, (2014)