Inertia Emulation-Oriented Evaluation Method of Sustaining Power Boundary for Lithium-Ion Battery Energy Storage System

被引:2
作者
Liu, Tianqi [1 ]
Dai, Yunteng [1 ]
Peng, Qiao [1 ]
Zeng, Xueyang [2 ]
Chen, Gang [2 ]
Meng, Jinhao [1 ]
机构
[1] Sichuan Univ, Coll Elect Engn, Chengdu 610065, Peoples R China
[2] State Grid Sichuan Elect Power Co, Elect Power Res Inst, Chengdu 610041, Peoples R China
关键词
Lithium-ion battery; battery energy storage system; sustaining power boundary; inertia emulation; evaluation method; experimental test; VIRTUAL INERTIA; STATE ESTIMATOR; PREDICTION; MODEL; IMPLEMENTATION; IDENTIFICATION; PARAMETER;
D O I
10.1109/TEC.2024.3382215
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In the low-inertia power system, the lithium-ion (Li-ion) battery energy storage system (BESS) is expected to provide virtual inertia support to the power system. However, the state-of-the-art output power boundary evaluation standards have not considered the time-varying feature of inertia emulation profile, based on which the inertia emulation capability of BESS cannot be accurately evaluated. Therefore, this paper firstly proposes the concepts of sustaining power (SP) and SP boundary (SPB) for evaluating the output boundary of BESS in inertia emulation condition. The sustaining current (SC) profile in inertia emulation condition that can opportunely make the response voltage reach the cut-off voltage is identified as the SC boundary (SCB), and the SPB can then be calculated. Then, an offline experimental SPB test method is proposed with improved efficiency, which can provide a predefined reference to the BESS operator and the grid before decision-making regarding frequency control. Applying the SC profiles on the BESS, the response voltage states are classified into three cases. In different cases, the SC profile is adjusted to approach the critical cut-off condition according to the proposed adjustment method. All the cases can achieve the critical cut-off condition with minimum attempts. The proposed SPB test method is validated by experimental tests on the 18650 Li-ion battery at different temperatures and with different state of charge (SOC). The experimental results indicate that the proposed SPB concept significantly increases the output boundary of battery, which can be captured offline with a limited number of trials under the proposed test method. The obtained SPB helps in quantifying the maximum virtual inertia that the BESS can deliver to the grid.
引用
收藏
页码:2362 / 2376
页数:15
相关论文
共 47 条
[1]  
[Anonymous], 2015, GB/T 31467.2-2015
[2]  
[Anonymous], 2003, Test Method of Input and Output Power Density of Nickel-Hydride Battery forHybrid Electric Vehicles
[3]  
[Anonymous], 2016, IEEE std 1709-2018 (revision of IEEE std 1709-2010), DOI [DOI 10.1109/IEEESTD.2018.8569023, 10.1109/IEEESTD.2018.8332112, DOI 10.1109/IEEESTD.2018.8332112]
[4]   Hierarchical under frequency load shedding scheme for inter-connected power systems [J].
Cai, Guowei ;
Zhou, Shuyu ;
Liu, Cheng ;
Zhang, Yuchi ;
Guo, Shujia ;
Cao, Zhichong .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2023, 8 (01)
[5]   An Overview of Peak Power Benchmark Methods for Lithium-Ion Battery [J].
Dai, Yunteng ;
Meng, Jinhao ;
Peng, Qiao ;
Liu, Tianqi ;
Cai, Yongxiang ;
Wu, Congcong .
2022 4TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES, 2022, :1788-1793
[6]   A Comprehensive Algorithm for Estimating Lithium-Ion Battery Parameters From Measurements [J].
Dvorak, Dominik ;
Baeuml, Thomas ;
Holzinger, Alexandra ;
Popp, Hartmut .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2018, 9 (02) :771-779
[7]   A new approach to consider the influence of aging state on Lithium-ion battery state of power estimation for hybrid electric vehicle [J].
Esfandyari, M. J. ;
Esfahanian, V. ;
Yazdi, M. R. Hairi ;
Nehzati, H. ;
Shekoofa, O. .
ENERGY, 2019, 176 (505-520) :505-520
[8]   Distributed Power System Virtual Inertia Implemented by Grid-Connected Power Converters [J].
Fang, Jingyang ;
Li, Hongchang ;
Tang, Yi ;
Blaabjerg, Frede .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2018, 33 (10) :8488-8499
[9]   Online identification of lithium-ion battery parameters based on an improved equivalent-circuit model and its implementation on battery state-of-power prediction [J].
Feng, Tianheng ;
Yang, Lin ;
Zhao, Xiaowei ;
Zhang, Huidong ;
Qiang, Jiaxi .
JOURNAL OF POWER SOURCES, 2015, 281 :192-203
[10]   PMU-Based ROCOF Measurements: Uncertainty Limits and Metrological Significance in Power System Applications [J].
Frigo, Guglielmo ;
Derviskadic, Asja ;
Zuo, Yihui ;
Paolone, Mario .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 68 (10) :3810-3822