Estimation of Medium- and Long-term Inertia Level Tendency for Power System and Its Application

被引:0
作者
Zhang W. [1 ]
Wen Y. [1 ]
He Y. [2 ]
You G. [2 ]
Li H. [3 ]
机构
[1] Engineering Research Center, Ministry of Education for Power Transmission and Transformation New Technology, Hunan University, Changsha
[2] Power Grid Planning and Construction Research Center, Yunnan Power Grid Co., Ltd., Kunming
[3] Electric Power Research Institute, Shenzhen Power Supply Co., Ltd., Shenzhen
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 10期
基金
中国国家自然科学基金;
关键词
inertia estimation; inertia security; minimum start-up scale; renewable energy; synchronous power source;
D O I
10.7500/AEPS20230102002
中图分类号
学科分类号
摘要
Power grid planning decision-makers and operators still have difficulty in effectively mastering the changes in the new power system inertia level with various influencing factors in the future high-proportion asynchronous power source access scenarios, and cannot effectively formulate response measures for low-inertia scenarios. To address this challenge, the main differences between inertia estimation methods for planning decisions and control operation in two different scenarios are compared and analyzed. The challenges and research framework of medium- and long-term inertia level estimation from three perspectives of basic methods, time scales, and target objects are elaborated. Based on this, the estimation method for the medium- and long-term inertia level tendency based on planning data is proposed, which realizes a rapid estimation of the range of system inertia changes in different future operation scenarios, and the application scenarios of medium- and long-term estimation from the perspective of inertia safety are explained. The proposed method has been applied to the analysis of inertia changing tendency and safety grading warning of the“14th Five-Year Plan”system in a provincial power grid in China. The extreme penetration rate of asynchronous power source and the minimum start-up scale of synchronous power sources are analyzed based on inertia safety requirements. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:54 / 65
页数:11
相关论文
共 21 条
[1]  
WEN Yunfeng, YANG Weifeng, WANG Ronghua, Et al., Review and prospect of toward 100% renewable energy power systems[J], Proceedings of the CSEE, 40, 6, pp. 1843-1856, (2020)
[2]  
ZENG Hui, SUN Feng, LI Tie, Et al., Analysis of“9·28” blackout in South Australia and its enlightenment to China[J], Automation of Electric Power Systems, 41, 13, pp. 1-6, (2017)
[3]  
FANG Yongjie, Reflections on frequency stability control technology based on the blackout event of 9 August 2019 in UK [J], Automation of Electric Power Systems, 43, 24, pp. 1-5, (2019)
[4]  
TANIGUCHI H, Et al., Estimation of power system inertia constant and capacity of spinning-reserve support generators using measured frequency transients [J], IEEE Transactions on Power Systems, 12, 1, pp. 136-143, (1997)
[5]  
LIU Fanglei, XU Guoyi, WANG Fan, Et al., Assessment method of system partition inertia based on differential calculation method[J], Automation of Electric Power Systems, 44, 20, pp. 46-53, (2020)
[6]  
ZHANG Wuqi, WEN Yunfeng, CHI Fangde, Et al., Research framework and prospect on power system inertia estimation[J], Proceedings of the CSEE, 41, 20, pp. 6842-6856, (2021)
[7]  
BROGAN P V, MORROW D J., Power system inertia estimation using HVDC power perturbations[J], IEEE Transactions on Power Systems, 36, 3, pp. 1890-1899, (2021)
[8]  
YANG D Y,, Et al., Inertia estimation based on observed electromechanical oscillation response for power systems[J], IEEE Transactions on Power Systems, 34, 6, pp. 4291-4299, (2019)
[9]  
ABDULHADI I F,, Et al., Switching Markov Gaussian models for dynamic power system inertia estimation[J], IEEE Transactions on Power Systems, 31, 5, pp. 3394-3403, (2015)
[10]  
LI Dongdong, ZHANG Jiale, XU Bo, Et al., Equivalent inertia assessment in renewable power system considering frequency distribution properties[J], Power System Technology, 44, 8, pp. 2913-2921, (2020)