新能源电力系统调频关键参数在线监测方法

齐晓光; 王宁; 秦梁栋; 冯喜春; 徐田丰; 朱天曈

doi:10.19912/j.0254-0096.tynxb.2024-1513

PDF(1180 KB)

太阳能学报 ›› 2026, Vol. 47 ›› Issue (1) : 244-252. DOI: 10.19912/j.0254-0096.tynxb.2024-1513

新能源电力系统调频关键参数在线监测方法

齐晓光, 王宁, 秦梁栋, 冯喜春, 徐田丰, 朱天曈

作者信息 +

ONLINE MONITORING METHOD FOR KEY FREQUENCY REGULATION PARAMETERS OF RENEWABLE ENERGY POWER SYSTEM

Qi Xiaoguang, Wang Ning, Qin Liangdong, Feng Xichun, Xu Tianfeng, Zhu Tiantong

Author information +

文章历史 +

摘要

提出一种用于新能源电力系统的调频关键参数在线监测方法,明确在线监测所需的测量信号,并设计系统整体等效惯性时间常数和调差率在线监测的方法及流程,通过不同渗透率的仿真算例验证该方法在传统电力系统和新能源电力系统中的适用性。仿真结果表明,该方法能准确实现对新能源电力系统调频关键参数在线监测,等效惯性时间常数监测误差低于2%,调差率监测误差低于4.5%。此外,该方法可在扰动后的0.4 s内完成系统等效惯性时间常数的计算,并在系统再次进入一次调频死区后得到系统调差率。尤其在新能源高渗透率系统中,该方法展现了优良的适应性和稳定性。

Abstract

This paper proposes an online monitoring method for key frequency regulation parameters of renewable energy power systems. It clarifies the required measurement signals for online monitoring and outlines the methods and processes for monitoring the overall equivalent inertia time constant and the system's droop coefficient. The applicability of the method is validated through simulation examples conducted under various penetration levels in both traditional and renewable energy power systems. The simulation results demonstrate that the proposed method can accurately monitor the key frequency regulation parameters of renewable energy power systems, with the equivalent inertia time constant monitoring error below 2% and the droop coefficient monitoring error below 4.5%. Furthermore, this method can compute the system’s equivalent inertia time constant within 0.4 seconds after a disturbance and determine the system’s droop coefficient once it stabilizes. Notably, the method shows excellent adaptability and stability, particularly in high-penetration renewable energy high permeability systems.

导出引用

齐晓光, 王宁, 秦梁栋, 冯喜春, 徐田丰, 朱天曈. 新能源电力系统调频关键参数在线监测方法[J]. 太阳能学报. 2026, 47(1): 244-252 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1513

Qi Xiaoguang, Wang Ning, Qin Liangdong, Feng Xichun, Xu Tianfeng, Zhu Tiantong. ONLINE MONITORING METHOD FOR KEY FREQUENCY REGULATION PARAMETERS OF RENEWABLE ENERGY POWER SYSTEM[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 244-252 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1513

中图分类号： TM73 TM61

参考文献

[1] IEA. Renewables 2023 [EB/OL]. IEA Publications :(2024-01) [2024-04-12]. https://www.iea.org/ reports /renewables-2023.
[2] GB/T 38983.1—2020, 虚拟同步机第1部分:总则[S].
GB/T 38983.1—2020, Virtual synchronous machine part 1: general[S].
[3] GB/T 19964—2024, 光伏发电站接入电力系统技术规定[S].
GB/T 19964—2024, Technical requirements for connecti ng photovoltaic power station to power system[S].
[4] GB/T 19963.1—2021, 风电场接入电力系统技术规定第1部分:陆上风电[S].
GB/T 19963.1—2021, Technical specification for connec ting wind farm to power system—part 1: on shore wind power[S].
[5] GB/T 40595—2021, 并网电源一次调频技术规定及试验导则[S].
GB/T 40595—2021, Guide for technology and test on primary frequency control of grid-connected power resource[S].
[6] 鲁宗相, 汤海雁, 乔颖, 等. 电力电子接口对电力系统频率控制的影响综述[J]. 中国电力, 2018, 51(1): 51-58.
LU Z X, TANG H Y, QIAO Y, et al.The impact of power electronics interfaces on power system frequency control: a review[J]. Electric power, 2018, 51(1): 51-58.
[7] 钱敏慧, 张建胜, 秦文萍, 等. 高比例风电联网背景下风电机组快速频率支撑研究综述[J]. 太阳能学报, 2025, 46(10): 714-726.
QIAN M H, ZHANG J S, QIN W P, et al.Rewiew of fast frequency support of WTGs under background of high proportion wind power interconnection[J]. Acta energiae solaris sinica, 2025, 46(10): 714-726.
[8] 王金锋, 郑博文, 姜炎君, 等. 澳大利亚虚拟电厂发展概况与经验启示[J]. 供用电, 2023, 40(4): 63-73, 82.
WANG J F, ZHEN B Q, JIANG Y J, et al.Development overview and experience enlightenment of virtual power plants in Australia[J]. DIstribution & utilization, 2023, 40(4): 63-73, 82.
[9] 林晓煌, 文云峰, 杨伟峰. 惯量安全域:概念、特点及评估方法[J]. 中国电机工程学报, 2021, 41(9): 3065-3079.
LIN X H, WEN Y F, YANG W F, et al.Inertia security region: concept, characteristics, and assessment method[J]. Proceedings of the CSEE , 2021, 41(9): 3065-3079.
[10] 李东东, 孙雅茹, 徐波, 等. 考虑频率稳定的新能源高渗透率电力系统最小惯量与一次调频容量评估方法[J]. 电力系统保护与控制, 2021, 49(23): 54-61.
LI D D, SUN Y R, XU B, et al.Minimum inertia and primary frequency capacity assessment for a new energy high permeability power system considering frequency stability[J]. Power system protection and control, 2021, 49(23): 54-61.
[11] 张武其, 文云峰, 迟方德, 等. 电力系统惯量评估研究框架与展望[J]. 中国电机工程学报, 2021, 41(20): 6842-6856.
ZHANG W Q, WEN Y F, CHI F D, et al.Research framework and prospect on power system inertia estimation[J]. Proceedings of the CSEE , 2021, 41(20): 6842-6856.
[12] GB/T 36547—2018, 电化学储能系统接入电网技术规定[S].
GB/T 36547—2018, Technical rule for electrochemical energy storage system connected to power grid[S].
[13] ELA E, KIRBY B, NAVID N, et al.Effective ancillary services market designs on high wind power penetration systems[C]//2012 IEEE Power and Energy Society General Meeting. San Diego: IEEE, 2012: 1-8.
[14] 朱介北, 朱学科, 陈彬彬, 等. 基于延时补偿的新能源惯性时间常数评估方法[J]. 电力系统自动化, 2024, 48(8): 101-110.
ZHU J B, ZHU X K, CHEN B B, et al.Evaluation method of inertia time constant for renewable energy based on delay compensation[J]. Automation of electric power systems, 2024, 48(8): 101-110.
[15] AEMO. National Electricity Rules [EB/OL]. (2023-11-02) [2024-04-13]. https://www.aemc.gov.au/regulation/national- electricity-rules.
[16] ENTSO-E. Requirements for Generators [EB/OL]. (2018-04) [2024-04-13]. https://www. entsoe.eu/network_codes/rfg/.
[17] CHASSIN D P, HUANG Z, DONNELLY M K, et al.Estimation of WECC system inertia using observed frequency transients[J]. IEEE transactions on power systems, 2005, 20(2): 1190-1192.
[18] TUTTELBERG K, KILTER J, WILSON D, et al.Estimation of power system inertia from ambient wide area measurements[J]. IEEE transactions on power systems, 2018, 33(6): 7249-7257.
[19] 鲁宗相, 李佳明, 乔颖, 等. 新能源场站快速频率支撑能力评估研究现状与技术展望[J]. 电力系统自动化, 2024, 48(10): 1-19.
LU Z X, LI J M, QIAO Y, et al.Research status and technology prospects of fast frequency support capability assessment for renewable energy stations[J]. Automation of electric power systems, 2024, 48(10): 1-19.
[20] NB∕T 10315—2019, 风电机组一次调频技术要求与测试规程[S].
NB∕T 10315-2019, Wind turbine primary frequency regulation technical requirements and test protocol[S].
[21] ASHTON P M, SAUNDERS C S, TAYLOR G A, et al.Inertia estimation of the GB power system using synchrophasor measurements[J]. IEEE transactions on power systems, 2015, 30(2): 701-709.
[22] 文云峰, 张武其, 郭威. 电力系统惯量需求:概念、指标及评估方法[J]. 电力系统自动化, 2024, 48(8): 30-41.
WEN Y F, ZHANG W Q, GUO W.Inertia requirement of power system: concepts, indexes, and evaluation method[J]. Automation of electric power systems, 2024, 48(8): 30-41.
[23] 王振浩, 陈诗伦, 葛津铭, 等. 计及新能源场站调频能力的电力系统最小惯量评估方法[J]. 太阳能学报, 2024, 45(8): 494-502.
WANG Z H, CHEN S L, GE J M, et al.Minimum inertia evaluation method of power system considering frequency modulation capability of new energy stations[J]. Acta energiae solaris sinica, 2024, 45(8): 494-502.
[24] 张君黎, 徐政. 考虑RoCoF约束的新能源电力系统惯量分区配置方法[J]. 太阳能学报, 2023, 44(9): 18-28.
QIAN M H, ZHANG J S, QIN W P, et al.Regional inertia configuration method of renewable energy power system considering RoCoF constraint[J]. Acta energiae solaris sinica, 2023, 44(9): 18-28.
[25] 李元臣, 文云峰, 叶希, 等. 基于多新息辨识的电力系统节点惯量估计方法[J]. 电力自动化设备, 2022, 42(8): 89-95.
LI Y C, WEN Y F, YE X, et al.Estimation method of power system nodal inertia based on multi- innovation identification[J]. Electric power automation equipment, 2022, 42(8): 89-95.
[26] 王宝财, 孙华东, 李文锋, 等. 考虑动态频率约束的电力系统最小惯量评估[J]. 中国电机工程学报, 2022, 42(1): 114-127.
WANG B C, SUN H D, LI W F, et al.Minimum Inertia estimation of power system considering dynamic frequency constraints[J]. Proceedings of the CSEE, 2022, 42(1): 114-127.
[27] ASHTON P M, TAYLOR G A, IRVING M R, et al.Novel application of detrended fluctuation analysis for state estimation using synchrophasor measurements[J]. IEEE transactions on power systems, 2013, 28(2): 1930-1938.
[28] 张淑清, 翟欣沛, 刘永富, 等. 滑动去趋势波动分析在电能质量暂态扰动检测中的应用[J]. 电力系统自动化, 2012, 36(8): 52-57.
ZHANG S Q, ZHAI X P, LIU Y F, et al.Application of sliding detrended fluctuation analysis in detection of transient power quality disturbances[J]. Automation of electric power systems, 2012, 36(8): 52-57.
[29] 刘方蕾, 胥国毅, 王凡, 等. 基于差值计算法的系统分区惯量评估方法[J]. 电力系统自动化, 2020, 44(20): 46-53.
LIU F L, XU G Y, WANG F, et al.Assessment method of system partition inertia based on differential calculation method[J]. Automation of electric power systems, 2020, 44(20): 46-53.
[30] 徐艳春, 范钟耀, 孙思涵, 等. 基于去趋势分析的大规模双馈风电场送出变压器差动保护[J]. 中国电力, 2023, 56(7): 186-197.
XU Y C, FAN Z Y, SUN S H, et al.Differential protection of transmission transformer for large-scale doubly fed wind farms based on detrended analysis[J]. Electric power, 2023, 56(7): 186-197.
[31] 张俊峰, 陈珉, 杨婷, 等. 低频振荡参数Prony辨识中的数字滤波器设计[J]. 电力系统及其自动化学报, 2018, 30(12): 99-104.
ZHANG J F, CHEN M, YANG T, et al.Digital filter design in Prony identification of low-frequency oscillation parameters[J]. Electric power systems and its automation, 2018, 30(12): 99-104.
[32] KUNDUR P.Power system stability and control[M]. New York: Mc Graw Hill, 2022, 267-268.