考虑储能电池长周期老化的电网惯量稳定域评估方法

刘一恒; 彭乔; 刘天琪; 古庭赟; 毛钧毅

doi:10.19725/j.cnki.1007-2322.2024.0138

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考虑储能电池长周期老化的电网惯量稳定域评估方法

储能 | 更新时间：2026-10-19

- 考虑储能电池长周期老化的电网惯量稳定域评估方法
- Evaluation Method for Inertia Stability Region of Power Grid Considering Long-term Aging of Energy Storage Batteries
- 现代电力 2026年43卷第5期页码：973-982
- 作者机构：
  
  1. 四川大学电气工程学院,四川省,成都市,610065
  2. 贵州电网有限责任公司电力科学研究院,贵州省,贵阳市,550007
- 作者简介：
  
  刘一恒 (2000)，男，硕士研究生，研究方向为电池储能系统能量管理与并网控制，E-mail：liuyihengscu@stu.scu.edu.cn
  彭乔 (1994)，女，副研究员，通信作者，研究方向为新型电力系统频率稳定与控制、新能源与储能并网控制，E-mail：qpeng@scu.edu.cn
  刘天琪 (1963)，女，教授，研究方向为电力系统分析计算与稳定控制、高压直流输电、综合能源优化、新能源接入，E-mail：tqliu@scu.edu.cn
- 基金信息：
  
  贵州省科技支撑计划项目(黔科合支撑[2023]一般 293)。
- DOI：10.19725/j.cnki.1007-2322.2024.0138
  中图分类号： 5
- 纸质出版：2026
- 稿件说明：
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刘一恒, 彭乔, 刘天琪, 等. 考虑储能电池长周期老化的电网惯量稳定域评估方法[J]. 现代电力, 2026,43(5):973-982.

LIU Yiheng, PENG Qiao, LIU Tianqi, et al. Evaluation Method for Inertia Stability Region of Power Grid Considering Long-term Aging of Energy Storage Batteries[J]. 2026, 43(5): 973-982.
刘一恒, 彭乔, 刘天琪, 等. 考虑储能电池长周期老化的电网惯量稳定域评估方法[J]. 现代电力, 2026,43(5):973-982. DOI： 10.19725/j.cnki.1007-2322.2024.0138.

LIU Yiheng, PENG Qiao, LIU Tianqi, et al. Evaluation Method for Inertia Stability Region of Power Grid Considering Long-term Aging of Energy Storage Batteries[J]. 2026, 43(5): 973-982. DOI： 10.19725/j.cnki.1007-2322.2024.0138.

摘要

惯量水平是影响电力系统频率特性的关键因素，准确评估系统惯量对维持电网频率稳定至关重要。随着储能电池渗透率的提高，其提供的惯量支撑愈发关键，但频繁充放电会加速电池老化，削弱其惯量支撑能力。为此，提出一种考虑储能电池长周期老化效应的电网惯量稳定域(inertia stability region，ISR)评估方法，以防止系统惯量评估虚高导致的频率失稳。该方法首先建立惯量支撑场景下的电池峰值功率衰减模型，分析长期循环造成的功率衰减特性；随后，基于电网频率响应模型，利用功率衰减趋势更新ISR上边界，并结合负荷预测结果确定ISR下边界；最终形成完整ISR，并提出惯量稳定裕度指标。仿真结果表明，该方法能有效反映电池老化对电网惯量水平的影响，为惯量调度提供可靠依据。

Abstract

The inertia level is a key factor affecting the frequency characteristics of power systems

and accurate inertia assessment is essential for maintaining grid frequency stability. With the increasing penetration of battery energy storage systems (BESS)

their contribution to inertia support becomes increasingly critical. However

frequent charge–discharge cycles accelerate battery aging

thereby weakening their inertia-supporting capability. To address this issue

this paper proposes an inertia stability region (ISR) evaluation method that considers the long-term aging effect of BESS to prevent overestimation of system inertia and avoid potential frequency instability. First

a peak power degradation model is established for inertia-supporting scenarios to analyze the long-term degradation characteristics caused by cycling. Then

based on the grid frequency response model

the ISR upper boundary is updated according to the power degradation trend

while the lower boundary is determined using load forecast results. Finally

a complete ISR is formed

and an inertia stability margin index is proposed. Simulation results demonstrate that the proposed method effectively captures the impact of battery aging on grid inertia levels and provides a reliable basis for inertia scheduling.

关键词

Keywords

references

ZHOU Xioaxin, CHEN Shuyong, LU Zongxiang, et al . Technology features of the new generation power system in China[J ] . Proceedings of the CSEE, 2018, 38(7): 1893−1904(in Chinese).

XIE Xiaorong, HE Jingbo, MAO Hangyin, et al . New issues and classification of power system stability with high shares of renewables and power electronics[J ] . Proceedings of the CSEE, 2021, 41(2): 461−474(in Chinese).

CHRISTENSEN P, ANDERSEN G, SEIDEL M, et al . High penetration of power electronic interfaced power sources and the potential contribution of grid forming converters[R ] . Brussels : the European Network of Transmission System Operators for Electricity, 2020.

SUN Huadong, XU Tao, GUO Qiang, et al . Analysis on blackout in Great Britain Power Grid on August 9th, 2019 and its enlightenment to power grid in China[J ] . Proceedings of the CSEE, 2019, 39(21): 6183−6191(in Chinese).

ZHANG Wuqi, WEN Yunfeng, CHI Fangde, et al . Research framework and prospect on power system inertia estimation[J ] . Proceedings of the CSEE, 2021, 41(20): 6842−6855(in Chinese).

GORBUNOV A, PENG J C H, BIALEK J W, et al . Can center-of-inertia model be identified from ambient frequency measurements[J ] . IEEE Transactions on Power Systems, 2022, 37(3): 2459−2462.

WEN Yunfeng, YANG Weifeng, LIN Xiaohuang. Review and prospect of frequency stability analysis and control of low-inertia power systems[J]. Electric Power Automation Equipment, 2020, 40(9): 211−222(in Chinese).

PETRA N, PETRA C G, ZHANG Z, et al . A Bayesian approach for parameter estimation with uncertainty for dynamic power systems[J ] . IEEE Transactions on Power Systems, 2017, 32(4): 2735−2743.

GU H J, YAN G F, SAHA T K. Minimum synchronous inertia requirement of renewable power systems[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1533−1543.

WEN Yunfeng, LIN Xiaohuang. Minimum inertia requirement assessment of microgrids in islanded and grid-connected modes[J]. Proceedings of the CSEE, 2021, 41(6): 2040−2052(in Chinese).

PENG Z, PENG Q, ZHANG Y, et al . Online inertia allocation for grid-connected renewable energy systems based on generic ASF model under frequency nadir constraint[J ] . IEEE Transactions on Power Systems, 2024, 39(1): 1615−1627.

ZHANG Y, GUO Q, ZHOU Y, et al . Online frequency security assessment based on an analytical model considering limiting modules[J ] . CSEE Journal of Power and Energy Systems, 2022, 8(5): 1363−1372.

LIU Yingpei, TIAN Shijie, LIANG Haiping, et al . Control strategy of a battery energy storage system considering SOC in primary frequency regulation of power grid[J ] . Power System Protection and Control, 2022, 50(13): 107−118(in Chinese).

LIN Xiaohuang, WEN Yunfeng, YANG Weifeng. Inertia security region: concept, characteristics, and assessment method[J]. Proceedings of the CSEE, 2021, 41(9): 3065−3078(in Chinese).

ZENG Hui, YU Chenyang, LI Zhengwen, et al . A practical and fast estimation method of moment of inertia in a regional power network[J ] . Power System Protection and Control, 2023, 51(10): 180−187(in Chinese).

ZHANG Gang, ZONG Qihang, KE Xianbo, et al . Online warning of transient power angle stability of power systems with wind power based on critical inertia and anticipated faults[J ] . Power System Protection and Control, 2023, 51(16): 72−83(in Chinese).

STROE D-I, SWIERCZYNSKI M, STROE A-I, et al . Degradation behavior of lithium-ion batteries based on lifetime models and field measured frequency regulation mission profile[J ] . IEEE Transactions on Industry Applications, 2016, 52(6): 5009−5018.

XU B, OUDALOV A, ULBIG A, et al . Modeling of lithium-ion battery degradation for cell life assessment[J ] . IEEE Transactions on Smart Grid, 2018, 9(2): 1131−1140.

LI Xinran, CUI Xiwen, HUANG Jiyuan, et al . The self-adaption control strategy of energy storage batteries participating in the primary frequency regulation[J ] . Transactions of China Electrotechnical Society, 2019, 34(18): 3897−3908(in Chinese).

TAN Z, LI X, HE L, et al . Primary frequency control with bess considering adaptive soc recovery[J ] . International Journal of Electrical Power Energy Systems, 2020, 117: 105588.

MAO Yingqun, ZHANG Jianping, CHENG Haozhong, et al . Unit commitment of a power system considering frequency safety constraint and wind power integrated inertial control[J ] . Power System Protection and Control, 2022, 50(11): 61−70(in Chinese).

MA Zhihui, LI Xinran, TAN Zhuangxi, et al . Integrated control of primary frequency regulation considering dead band of energy storage[J ] . Transactions of China Electro-technical Society, 2019, 34(10): 2102−2115(in Chinese).

SUN Huadong, WANG Baocai, LI Wenfeng, et al . Research on inertia system of frequency response for power system with high penetration electronics[J ] . Proceedings of the CSEE, 2020, 40(16): 5179−5191(in Chinese).

ZHANG Ziyang, DU Ershun, TENG Fei, et al . Modeling frequency dynamics in unit commitment with a high share of renewable energy[J ] . IEEE Transactions on Power Systems, 2020, 35(6): 4383−4395.

HAN Fujia, WANG Xiaohui, QIAO Ji, et al . Review on artificial intelligence based load forecasting research for the new-type power system[J ] . Proceedings of the CSEE, 2023, 43(22): 8569−8591(in Chinese).

FAN G F, ZHANG L Z, YU M, et al . Applications of random forest in multivariable response surface for short-term load forecasting[J ] . International Journal of Electrical Power Energy Systems, 2022, 139: 108073.

ZHANG Jianyun, LI Mingjie. Analysis of the frequency characteristic of the power systems highly penetrated by new energy generation[J]. Proceedings of the CSEE, 2020, 40(11): 3498−3506(in Chinese).

China Electricity Council. GB/T 40595—2021 Technical Guide for technology and test on primary frequency control of grid-connected power resource[S]. Beijing: China Standard Press, 2021(in Chinese).

China Electricity Council. GB/T 26399—2011 Technical guide for electric power system security and stability con-trol[S]. Beijing: China Standard Press, 2011(in Chinese).

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