Optimization of Deployment with Control for Battery Energy Storage System Participating in Primary Frequency Regulation Service Considering Its Calendar Life

被引:0
|
作者
Wen K. [1 ]
Li W. [1 ]
Han S. [2 ]
Jin C. [1 ]
Zhao Y. [3 ]
机构
[1] School of Electrical Engineering, Dalian University of Technology, Dalian
[2] Jilin Electricity Trading Center Co., Ltd., Changchun
[3] School of Information Engineering, Dalian Ocean University, Dalian
来源
基金
中国国家自然科学基金;
关键词
Battery energy storage system; Calendar life; Capacity deployment; Collaborative optimization; Cycling life; Net present value; Primary frequency regulation;
D O I
10.13336/j.1003-6520.hve.20180822012
中图分类号
学科分类号
摘要
For the investment and planning of battery energy storage system(BESS), allocation effect deviation may be caused when fixed life or cycling life is used to roughly characterize battery performance degradation under ancillary service market of primary frequency regulation, and it is difficult to maximize net income. we proposed a strategy for operation and control of BESS, which integrated power requirements of frequency regulation and delicacy management about state of charge (SOC). A methodology for prediction of battery calendar life was presented from the perspective of capacity degradation. A coordination optimization model between configuration capacity and control parameters was built for BESS to realize the maximum net present value (NPV) of total life cycle. The results of numerical examples validate the feasibility and effectiveness of proposed model. According to the methodology of calendar life prediction, the battery life and net investment income can be evaluated more accurately and properly under the application background of primary frequency regulation. Relevant research can provide a theoretical basis in planning and operation for BESS to participate in primary frequency regulation service. © 2019, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
引用
收藏
页码:2185 / 2193
页数:8
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  • [1] Song H., Yu G., Qu Y., Web of Cell architecture-new perspective for future smart grid, Automation of Electric Power Systems, 41, 15, pp. 1-9, (2017)
  • [2] Li X., Deng T., Huang J., Et al., Battery energy storage systems' self-adaptation control strategy in fast frequency regulation, High Voltage Engineering, 43, 7, pp. 2362-2369, (2017)
  • [3] Li Z., Wu X., Zhuang K., Et al., Analysis and reflection on frequency characteristics of east China grid after bipolar locking of Jinping-Sunan DC transmission line, Automation of Electric Power Systems, 41, 7, pp. 149-155, (2017)
  • [4] Chen G., Li M., Xu T., Et al., Study on technical bottleneck of new energy development, Proceedings of the CSEE, 37, 1, pp. 20-26, (2017)
  • [5] Provisions on the administration of grid-connected operation for power plants, (2006)
  • [6] Interim measures for the administration of ancillary services about grid-connected power plants, (2006)
  • [7] Qiu X., Sha Y., Ning X., Et al., Hierarchical optimization of multi-type flexible load in smart grid with large-scale wind generation, High Voltage Engineering, 42, 7, pp. 2084-2091, (2016)
  • [8] Jin W., Xu S., Zhang D., Et al., Application and response time test of MW-level battery energy storage system used in PV power station, High Voltage Engineering, 43, 7, pp. 2425-2432, (2017)
  • [9] Chen X., Jin X., Jia H., Et al., Reconfiguration strategy for active distribution network considering spatial-temporal electrical vehicle load model, High Voltage Engineering, 43, 3, pp. 1049-1056, (2017)
  • [10] ENTSO-E, Network code on load frequency control and reserves, (2013)