基于EMD和TLS-Prony的次同步振荡模态辨识方法及电压反馈抑制策略

刘克天, 胡新宇, 李想, 韩笑

太阳能学报 ›› 2023, Vol. 44 ›› Issue (11) : 294-302.

PDF(2372 KB)
欢迎访问《太阳能学报》官方网站,今天是
PDF(2372 KB)
太阳能学报 ›› 2023, Vol. 44 ›› Issue (11) : 294-302. DOI: 10.19912/j.0254-0096.tynxb.2022-1113

基于EMD和TLS-Prony的次同步振荡模态辨识方法及电压反馈抑制策略

  • 刘克天, 胡新宇, 李想, 韩笑
作者信息 +

SUB-SYNCHRONOUS OSCILLATION MODAL IDENTIFICATION METHOD BASED ON EMD AND TLS-PRONY ALGORITHM AND VOLTAGE FEEDBACK SUPPRESSION STRATEGY

  • Liu Ketian, Hu Xinyu, Li Xiang, Han Xiao
Author information +
文章历史 +

摘要

以减小次同步振荡模态辨识中的误差,提升Prony算法的抗噪性,抑制双馈风电机组并网次同步振荡为研究对象,提出一种基于经验模态分解(EMD)和TLS-Prony算法的次同步振荡模态辨识方法及电压反馈抑制策略。首先,使用EMD对振荡信号进行预处理,降低噪声对Prony算法辨识振荡模态的影响;然后,使用TLS-Prony算法进一步抑制噪声干扰,提取振荡特征,辨识振荡模态;最后,直接调整控制参数调制网侧变流器的输出电压,向系统注入等效正电阻,改善系统负阻尼特性,设计以串补电容电压为反馈输入信号的附加阻尼控制器。采用模态计算分析附加阻尼对系统稳定性的影响,基于Matlab/Simulink仿真平台验证所提阻尼抑制策略的有效性。

Abstract

Based on the suppression of grid-connected sub-synchronous oscillation of doubly fed induction generator. In order to reduce the errors in the modal identification of sub-synchronous oscillation and improve the anti-noise performance of Prony algorithm, this paper proposes a modal identification method of sub-synchronous oscillation based on empirical mode decomposition (EMD) and TLS-Prony algorithm and a voltage feedback suppression strategy. Firstly, EMD is used to preprocess the oscillation signal to reduce the impact of noise on the identification of oscillation modes by Prony algorithm. Then, the TLS-Prony algorithm was used to further suppress the noise interference, extract the oscillation features, and identify the oscillation modes. Finally, the output voltage of the grid-side converter is modulated directly by adjusting the control parameters, and the equivalent positive resistance is injected into the system to improve the negative damping characteristics of the system. An additional damping controller is designed with the cascade capacitor voltage as the feedback input signal. The influence of additional damping on the stability of the system is given by modal analysis, and the effectiveness of the proposed damping suppression strategy is verified by Matlab/Simulink simulation platform.

关键词

双馈风电机组 / 次同步振荡 / 附加阻尼控制 / Prony算法 / 模态辨识 / 基于经验模态分解

Key words

doubly-fed induction generator / sub-synchronous oscillation / additional damping control / Prony / modal identification / empiricul mode decomposition

引用本文

导出引用
刘克天, 胡新宇, 李想, 韩笑. 基于EMD和TLS-Prony的次同步振荡模态辨识方法及电压反馈抑制策略[J]. 太阳能学报. 2023, 44(11): 294-302 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1113
Liu Ketian, Hu Xinyu, Li Xiang, Han Xiao. SUB-SYNCHRONOUS OSCILLATION MODAL IDENTIFICATION METHOD BASED ON EMD AND TLS-PRONY ALGORITHM AND VOLTAGE FEEDBACK SUPPRESSION STRATEGY[J]. Acta Energiae Solaris Sinica. 2023, 44(11): 294-302 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1113
中图分类号: TM614   

参考文献

[1] 薛安成, 付潇宇, 乔登科, 等. 风电参与的电力系统次同步振荡机理研究综述和展望[J]. 电力自动化设备, 2020, 40(9): 118-128.
XUE A C, FU X Y, QIAO D K, et al.Review and prospect of research on sub-synchronous oscillation mechanism for power system with wind power participation[J]. Electric power automation equipment, 2020, 40(9): 118-128.
[2] WANG L, XIE X R, JIANG Q R, et al.Investigation of SSR in practical DFIG-based wind farms connected to a series-compensated power system[J]. IEEE transactions on power systems, 2015, 30(5): 2772-2779.
[3] 朱廷猛, 孙海顺, 秦世耀, 等. 弱电网下双馈风电机组并网系统的次同步振荡研究[J]. 电网技术, 2021, 45(5): 1641-1648.
ZHU T M, SUN H S, QIN S Y, et al.Sub-synchronous oscillation in DFIG system connected to weak grid[J]. Power system technology, 2021, 45(5): 1641-1648.
[4] 吴熙, 关雅静, 宁威, 等. 双馈风机转子侧变换器参数对次同步振荡的交互影响机理及其应用研究[J]. 电网技术, 2018, 42(8): 2536-2544.
WU X, GUAN Y J, NING W, et al.Mechanism of interactive effect of RSC parameters in DFIG on SSO and its application[J]. Power system technology, 2018, 42(8): 2536-2544.
[5] 张超, 王维庆, 邱衍江, 等. 大规模风电并网地区次同步谐波检测方法[J]. 高电压技术, 2019, 45(7): 2194-2202.
ZHANG C, WANG W Q, QIU Y J, et al.Detection method of subsynchronous harmonic in regions with large scale wind power paralleled in grid[J]. High voltage engineering, 2019, 45(7): 2194-2202.
[6] 董航, 刘涤尘, 邹江峰. 基于Prony算法的电力系统低频振荡分析[J]. 高电压技术, 2006, 32(6): 97-100.
DONG H, LIU D C, ZOU J F.Analysis of power system low frequency oscillation based on Prony algorithm[J]. High voltage engineering, 2006, 32(6): 97-100.
[7] 刘鹏翔, 贾燕冰, 罗宇恒. 基于EWT和改进Prony算法的含风电区域电网低频振荡模态及影响因素研究[J]. 电测与仪表, 2021, 58(5): 46-54.
LIU P X, JIA Y B, LIU Y H, et al.Research on low-frequency oscillation mode and influencing factors of inter-area power grid containing wind power based on EWT and improved Prony algorithm[J]. Electrical measurement & instrumentation, 2021, 58(5): 46-54.
[8] 彭莉萍, 魏辉, 刘桂平, 等. 通过改进Prony算法辨识交流串补引起的次同步谐振模态参数[J]. 电力系统及其自动化学报, 2015, 27(S1): 63-67.
PENG L P, WEI H, LIU G P, et al.Detection of subcynchronous resonance caused by series capacitive compensation based on improved Prony[J]. Proceedings of the CSU-EPSA, 2015, 27(S1): 63-67.
[9] 张骞, 边晓燕, 徐鑫裕, 等. 基于SVD-Prony及主成分回归的次同步振荡阻尼特性影响因素研究[J]. 电工技术学报, 2022, 37(17): 4364-4367.
ZHANG Q, BIAN X Y, XU X Y, et al.Analysis of influencing factors on damping characteristics of subsynchronous oscillation based on singular value decomposition-Prony and principal component regression[J]. Transactions of China Electrotechnical Society, 2022, 37(17): 4364-4376.
[10] LIU W L, HU W L, CHEN Z J.SVD-TLS extending Prony algorithm for extracting UWB radar target feature[J].Journal of systems engineering and electronics, 2008, 19(2):286-291.
[11] 陈良双, 吴思奇, 喻文倩, 等. 基于转子侧附加阻尼控制的双馈风电机组并网次/超同步振荡抑制方法[J]. 电力系统保护与控制, 2021, 49(15): 47-58.
CHEN L S, WU S Q, YU W Q, et al.A sub/super-synchronous oscillation suppression method for a DFIG-connected grid based on additional damping control on the rotor side converter[J]. Power system protection and control, 2021, 49(15): 47-58.
[12] 韩平平, 王欢, 王希, 等. 基于主导变量阻尼控制的双馈风电场次同步振荡抑制[J]. 电力系统及其自动化学报, 2022, 34(1): 26-37, 75.
HAN P P, WANG H, WANG X, et al.Sub-synchronous oscillation suppression for doubly-fed wind farm based on dominant variable damping control[J]. Proceedings of the CSU-EPSA, 2022, 34(1): 26-37, 75.
[13] 胡应宏, 邓春, 谢小荣, 等. 双馈风机-串补输电系统次同步谐振的附加阻尼控制[J]. 电网技术, 2016, 40(4): 1169-1173.
HU Y H, DENG C, XIE X R, et al.Additional damping control of DFIG series compensated transmission system under sub-synchronous resonance[J]. Power system technology, 2016, 40(4): 1169-1173.
[14] 苏田宇, 杜文娟, 王海风. 并网双馈风电场次/超同步混合振荡现象及阻尼控制方案[J]. 中国电机工程学报, 2018, 38(20): 5919-5928.
SU T Y, DU W J, WANG H F.Sub/super-synchronous mixed oscillation phenomenon and a damping control scheme of the DIFG-based wind farm connected to a power grid[J]. Proceedings of the CSEE, 2018, 38(20): 5919-5928.
[15] FAN L L, ZHU C X, MIAO Z X, et al.Modal analysis of a DFIG-based wind farm interfaced with a series compensated network[J]. IEEE transactions on energy conversion, 2011, 26(4): 1010-1020.
[16] LI Y, FAN L L, MIAO Z X.Replicating real-world wind farm SSR events[J]. IEEE transactions on power delivery, 2020, 35(1): 339-348.
[17] FAN L L, MIAO Z X.Nyquist-stability-criterion-based SSR explanation for type-3 wind generators[J]. IEEE transactions on energy conversion, 2012, 27(3): 807-809.
[18] 王亮, 谢小荣, 姜齐荣, 等. 大规模双馈风电场次同步谐振的分析与抑制[J]. 电力系统自动化, 2014, 38(22): 26-31.
WANG L, XIE X R, JIANG Q R, et al.Analysis and mitigation of SSR problems in large-scale wind farms with doubly-fed wind turbines[J]. Automation of electric power systems, 2014, 38(22): 26-31.
[19] MARKOVSKY I, VAN HUFFEL V.Overview of total least-squares methods[J]. Signal processing, 2007, 87(10): 2283-2302.
[20] 单碧涵, 王宝华, 刘洋, 等. 基于定子侧模拟电阻的双馈风电场次同步振荡抑制策略研究[J]. 电力系统保护与控制, 2020, 48(5): 10-16.
SHAN B H,WANG B H, LIU Y, et al.Analysis of a new control strategy based on stator-side virtual resistance to suppress sub-synchronous oscillation in DFIG-based wind farms[J]. Power system protection and control, 2020, 48(5): 10-16.
[21] FAN L L, KAVASSERI R, MIAO Z, et al.Modeling of DFIG-based wind farms for SSR analysis[J]. IEEE transactions on power delivery, 2010, 25(4): 2073-2082.

PDF(2372 KB)

Accesses

Citation

Detail

段落导航
相关文章

/