Electromagnetic Transient Modeling Method of Lithium-ion Battery Energy Storage System for Fault Characteristic Analysis

被引:0
|
作者
Zhang J. [1 ,2 ]
Liu P. [1 ]
Xie X. [1 ]
Yang G. [3 ]
机构
[1] Department of Electrical Engineering, Tsinghua University, Beijing
[2] State Grid Corporation of China, Beijing
[3] China Electric Power Research Institute, Beijing
关键词
electromagnetic transient modeling; fault ride-through; lithium-ion battery energy storage system (LiBESS); negative-sequence control; power converter system (PCS);
D O I
10.7500/AEPS20220315009
中图分类号
学科分类号
摘要
To promote the accommodation and utilization of the renewable energy, the lithium-ion battery energy storage system (LiBESS) has been widely used in power systems, resulting in more complicated fault characteristics. An electromagnetic transient modeling method for LiBESS is proposed. Based on the analysis of the fault characteristics, the power converter system (PCS) and the lithium-ion battery taking the external characteristics and the state of charge (SOC) into account are established. The fault ride-through control loop and negative-sequence control loop are introduced into the control strategy of PCS to realize the fault ride-through and eliminate the fluctuation of DC bus voltage. In addition, the difference in fault characteristics of LiBESS under different charging and discharging modes are analyzed through mechanism analysis and simulation verification. Finally, accuracy of the proposed modeling method is verified based on the electromagnetic transient simulation in PSCAD/EMTDC and hardware-in-loop test in RTDS. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码:166 / 173
页数:7
相关论文
共 23 条
  • [1] ZHUO Zhenyu, ZHANG Ning, XIE Xiaorong, Et al., Key technologies and developing challenges of power system with high proportion of renewable energy[J], Automation of Electric Power Systems, 45, 9, pp. 171-191, (2021)
  • [2] Assessing the effect of wind farm layout on energy storage requirement for power fluctuation mitigation[J], IEEE Transactions on Sustainable Energy, 10, 2, pp. 558-568, (2019)
  • [3] LI Jianlin, WU Yiwen, WANG Nan, Et al., Review and prospect of gigawatt-level electrochemical energy storage power station [J], Automation of Electric Power Systems, 45, 19, pp. 2-14, (2021)
  • [4] LIU Lu, NIU Meng, ZHENG Weijie, Et al., Modeling of lithium-ion battery packs for energy storage system considering inconsistency of internal battery parameters[J], Automation of Electric Power Systems, 45, 19, pp. 15-23, (2021)
  • [5] PAUL S,, NATH A P,, RATHER Z H., A multi-objective planning framework for coordinated generation from offshore wind farm and battery energy storage system [J], IEEE Transactions on Sustainable Energy, 11, 4, pp. 2087-2097, (2020)
  • [6] ZHANG X S, HUA L,, Et al., Enhancing performances on wind power fluctuation mitigation by optimizing operation schedule of battery energy storage systems with considerations of operation cost [J], IEEE Access, 7, pp. 94072-94083, (2019)
  • [7] CHAKRABORTY T,, WATSON D,, RODGERS M., Automatic generation control using an energy storage system in a wind park[J], IEEE Transactions on Power Systems, 33, 1, pp. 198-205, (2018)
  • [8] BI Tianshu, LIU Sumei, XUE Ancheng, Et al., Fault characteristics of inverter-interfaced renewable energy sources [J], Proceedings of the CSEE, 33, 13, pp. 165-171, (2013)
  • [9] NORMAN P J,, FLETCHER S D A,, Et al., Evaluation of the impact of high-bandwidth energy-storage systems on DC protection[J], IEEE Transactions on Power Delivery, 31, 2, pp. 586-595, (2016)
  • [10] SALEH S A,, OZKOP E,, VALDES M E,, Et al., On the factors affecting battery unit contributions to fault currents in grid-connected battery storage systems[J], IEEE Transactions on Industry Applications, 58, 3, pp. 3019-3028, (2022)