Identification of Dominant Factors of Sub-synchronous Oscillation Energy Based on VMD and Subjective and Objective Weighting

XU Yanhui, LIU Hui, CHENG Yundan, SUN Guanqun, CAI Defu, WANG Erxi

Electric Power Construction ›› 2024, Vol. 45 ›› Issue (3) : 137-148.

PDF(9375 KB)
PDF(9375 KB)
Electric Power Construction ›› 2024, Vol. 45 ›› Issue (3) : 137-148. DOI: 10.12204/j.issn.1000-7229.2024.03.013
Smart Grid

Identification of Dominant Factors of Sub-synchronous Oscillation Energy Based on VMD and Subjective and Objective Weighting

Author information +
History +

Abstract

The energy characteristics of sub-synchronous oscillations in new power systems are closely related to operating conditions, control parameters, and the external environment. Therefore, the extraction of the energy characteristics of sub-synchronous oscillations and the identification of the dominant factors based on the measured data under different scenarios can effectively solve the sub-synchronous oscillation problems in practical engineering. In this study, we propose a data-driven method to identify the factors influencing sub-synchronous oscillation energy characteristics. First, it solves the modal mixing problem based on the variational modal decomposition to extract the accurate sub-synchronous oscillation modes; second, it derives the expression of sub-synchronous oscillation energy function based on the port energy and uses the modal extraction results to calculate the energy function; finally, it uses the subjective and objective weighting to establish an evaluation model to identify the dominant factors of sub-synchronous oscillation energy characteristics by considering the subjective and objective weights. The simulation results of the wind farm grid-connected sub-synchronous oscillations built based on the PSCAD/EMTDC platform verified the effectiveness of the proposed method.

Key words

sub-synchronous oscillation / energy characteristics / dominant factors / variational mode decomposition (VMD) / subjective and objective weighting

Cite this article

Download Citations
Yanhui XU , Hui LIU , Yundan CHENG , et al . Identification of Dominant Factors of Sub-synchronous Oscillation Energy Based on VMD and Subjective and Objective Weighting[J]. Electric Power Construction. 2024, 45(3): 137-148 https://doi.org/10.12204/j.issn.1000-7229.2024.03.013

References

[1]
LI Y, FAN L L, MIAO Z X. Wind in weak grids: low-frequency oscillations, subsynchronous oscillations, and torsional interactions[J]. IEEE Transactions on Power Systems, 2020, 35(1): 109-118.
[2]
DU W J, CHEN C, WANG H F. Subsynchronous interactions induced by DFIGs in power systems without series compensated lines[J]. IEEE Transactions on Sustainable Energy, 2018, 9(3): 1275-1284.
[3]
谢小荣, 刘华坤, 贺静波, 等. 电力系统新型振荡问题浅析[J]. 中国电机工程学报, 2018, 38(10): 2821-2828.
XIE Xiaorong, LIU Huakun, HE Jingbo, et al. On new oscillation issues of power systems[J]. Proceedings of the CSEE, 2018, 38(10): 2821-2828.
[4]
栗锐遥, 王潇, 贾辛遥, 等. 基于附加阻尼控制的PMSG适应柔直送出策略优化[J]. 电力建设, 2023, 44(10): 127-136.
Abstract
国内外多个风电工程在采用柔直进行远距离输送时出现了系统振荡现象,就该现象研究其判稳方法及优化策略。建立了直驱永磁同步风力发电机(permanent magnet synchronous generator,PMSG)和柔直输电系统的数学模型,推导了PMSG经柔直送出系统的Bode稳定判据,分别提取了PMSG及柔直的系统阻抗,并进行振荡评估。提出了提升柔直送出稳定性的PMSG附加阻尼控制器设计方案和参数整定方法。从频域角度分析优化策略的效果,研究结果显示,基于附加阻尼控制的PMSG经柔直送出的振荡抑制策略有效消除了振荡风险。采用频域分析中抑制效果良好的附加阻尼控制参数进行时域仿真,验证了附加阻尼控制对PMSG经柔直送出系统的振荡抑制效果。
LI Ruiyao, WANG Xiao, JIA Xinyao, et al. Strategy optimization of PMSG adapting to flexible DC transmission based on additional damping control[J]. Electric Power Construction, 2023, 44(10): 127-136.

Various wind power projects at home and abroad have experienced system oscillations when using flexible straight for long-distance transmission, and this paper investigates the methods for determining stability and optimization strategies for this phenomenon. In this paper, the mathematical model of PMSG and flexible DC transmission system was established. The Bode stability criterion of the hybrid system with PMSG and flexible DC transmission system was derived, and the impedance extraction and oscillation assessment were carried out. The design scheme and parameter tuning method of additional damping controller for PMSG, which are suitable for improving the stability of the hybrid system, were proposed. The effect of the optimisation strategy is analysed in the frequency domain and the results show that the oscillation suppression strategy based on additional damping control for the hybrid system with PMSG and flexible DC transmission system effectively eliminates the risk of oscillation. The additional damping control parameters with good suppression effect in the frequency domain analysis are used for time domain simulation to verify the effect of additional damping control on the oscillation suppression of the hybrid system with PMSG and flexible DC transmission system.

[5]
BEERTEN J, D’ARCO S, SUUL J A. Identification and small-signal analysis of interaction modes in VSC MTDC systems[J]. IEEE Transactions on Power Delivery, 2016, 31(2): 888-897.
[6]
邢光正, 吴琛, 陈磊, 等. 电压源变换器接入电网的小扰动稳定机理分析[J]. 电力自动化设备, 2020, 40(9): 42-52, 193.
XING Guangzheng, WU Chen, CHEN Lei, et al. Analysis of small disturbance stability mechanism for grid-connected voltage source converter[J]. Electric Power Automation Equipment, 2020, 40(9): 42-52, 193.
[7]
杨秀, 胡浩然, 李增尧, 等. 风电场交直流并网次/超同步振荡交互影响[J]. 电力建设, 2022, 43(1): 49-62.
Abstract
基于状态空间建模的方法建立了不同风电场经交直流并联接入电网系统的小扰动模型,并对系统中所产生的各种振荡模式的产生机理进行了详细分析;进一步分析了系统结构参数与关键控制器参数对系统次/超同步振荡固有振荡模式与耦合振荡模式影响的差异性;在此基础上,揭示了交流系统与直流系统之间交互作用的机理与影响因素。最后利用PSCAD/EMTDC平台进行时域仿真证实了所建立系统的正确性,结果表明,系统参数对交直流系统之间的耦合振荡模式影响较为复杂。
YANG Xiu, HU Haoran, LI Zengyao, et al. Interaction between AC and DC grid-connected sub-synchronous and super-synchronous oscillations in wind farms[J]. Electric Power Construction, 2022, 43(1): 49-62.

Applying the state space modeling method, the small disturbance models of different wind farms connected to the power grid through paralleled AC and DC lines are established, and the generation mechanism of various oscillation modes in the system is analyzed in detail. Furthermore, the differences of the effects of system structure parameters and key controller parameters on the natural oscillation mode and coupled oscillation mode of the system are analyzed. On this basis, the interaction mechanism and factors between AC and DC system are revealed. The correctness of the system is verified by time-domain simulation on PSCAD / EMTDC platform. The results show that the influence of system parameters on the coupled oscillation modes between AC and DC systems is complex.

[8]
刘斌, 呼斯乐, 王甲军, 等. 直驱风电场经LCC-HVDC外送系统阻抗建模及振荡机理分析[J]. 中国电机工程学报, 2021, 41(10): 3492-3504, 3674.
LIU Bin, HU Sile, WANG Jiajun, et al. Impedance modeling and oscillation mechanism analysis of D-PMSG-based wind farms integration through LCC-HVDC system[J]. Proceedings of the CSEE, 2021, 41(10): 3492-3504, 3674.
[9]
ZHANG C, MOLINAS M, FØYEN S, et al. Harmonic-domain SISO equivalent impedance modeling and stability analysis of a single-phase grid-connected VSC[J]. IEEE Transactions on Power Electronics, 2020, 35(9): 9770-9783.
[10]
徐衍会, 滕先浩. 风电场内机群间次同步振荡相互作用[J]. 电力自动化设备, 2020, 40(9): 156-164.
XU Yanhui, TENG Xianhao. Interaction of sub-synchronous oscillation between wind turbine clusters in wind farm[J]. Electric Power Automation Equipment, 2020, 40(9): 156-164.
[11]
来子晗, 温富光. 基于正序瞬时功率算法的宽频振荡检测技术[J]. 浙江电力, 2024, 43(1): 12-19.
LAI Zihan, WEN Fuguang. A wideband oscillation detection technology based on positive sequence instantaneous power algorithm[J]. Zhejiang Electric Power, 2024, 43(1): 12-19.
[12]
苏荣强, 张海天, 陈峰, 等. 电网宽频监测系统的研制及应用[J]. 浙江电力, 2023, 42(1): 63-69.
SU Rongqiang, ZHANG Haitian, CHEN Feng, et al. Development and application of broadband monitoring systems in power grids[J]. Zhejiang Electric Power, 2023, 42(1): 63-69.
[13]
王乐天, 薛嘉辰, 张梦琪, 等. 基于半功率带宽法的改进模态分析法[J]. 电力科学与技术学报, 2023, 38(5):129-142.
WANG Letian, XUE Jiachen, ZHANG Mengqi, et al. An improved modal analysis method based on half power bandwidth method[J]. Journal of Electric Power Science and Technology, 2023, 38(5): 129-142.
[14]
刘晔, 沈沉. 交直流混联系统的能量函数构造方法综述与探究[J]. 中国电机工程学报, 2022, 42(8): 2842-2853.
LIU Ye, SHEN Chen. Review and research on construction methods of energy function for hybrid AC-DC power system[J]. Proceedings of the CSEE, 2022, 42(8): 2842-2853.
[15]
陈厚合, 王长江, 姜涛, 等. 基于端口能量的含VSC-HVDC的交直流混合系统暂态稳定评估[J]. 电工技术学报, 2018, 33(3): 498-511.
CHEN Houhe, WANG Changjiang, JIANG Tao, et al. Transient stability assessment in hybrid AC/DC systems with VSC-HVDC via port energy[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 498-511.
[16]
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): 4364-4376.
ZHANG Qian, BIAN Xiaoyan, XU Xinyu, 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.
[17]
马俊杰, 刘芳, 吴敏, 等. 基于类噪声小波分解的风电场次同步振荡辨识[J]. 电网技术, 2019, 43(4): 1294-1300.
MA Junjie, LIU Fang, WU Min, et al. Wind farm sub-synchronous oscillation mode identification based on wavelet decomposition of ambient noise signals[J]. Power System Technology, 2019, 43(4): 1294-1300.
[18]
SU T X, YANG M F, JIN T, et al. Power harmonic and interharmonic detection method in renewable power based on Nuttall double-window all-phase FFT algorithm[J]. IET Renewable Power Generation, 2018, 12(8): 953-961.
[19]
姜涛, 刘方正, 陈厚合, 等. 基于多通道快速傅里叶小波变换的电力系统主导振荡模式及模态协同辨识方法研究[J]. 电力自动化设备, 2019, 39(7): 125-132.
JIANG Tao, LIU Fangzheng, CHEN Houhe, et al. Cooperated identification method of dominant oscillation modes and mode shapes for power system based on multi-channel fast Fourier transform based continuous wavelet transform[J]. Electric Power Automation Equipment, 2019, 39(7): 125-132.
[20]
郭成, 尹轲, 张艳萍, 等. 一种基于综合DFT和Prony算法的谐波与间谐波分析方法[J]. 电力系统保护与控制, 2021, 49(17): 1-9.
GUO Cheng, YIN Ke, ZHANG Yanping, et al. A harmonic and interharmonic analysis method based on integrated DFT and Prony algorithm[J]. Power System Protection and Control, 2021, 49(17): 1-9.
[21]
马钺, 蔡东升, 黄琦. 基于Rife-Vincent窗和同步相量测量数据的风电次同步振荡参数辨识[J]. 中国电机工程学报, 2021, 41(3): 789-802.
MA Yue, CAI Dongsheng, HUANG Qi. Parameter identification of wind power sub-synchronous oscillation based on rife-vincent window and synchrophasor data[J]. Proceedings of the CSEE, 2021, 41(3): 789-802.
[22]
杨德昌, REHTANZ C, 李勇, 等. 基于改进希尔伯特-黄变换算法的电力系统低频振荡分析[J]. 中国电机工程学报, 2011, 31(10): 102-108.
YANG Dechang, REHTANZ C, LI Yong, et al. Researching on low frequency oscillation in power system based on improved HHT algorithm[J]. Proceedings of the CSEE, 2011, 31(10): 102-108.
[23]
谷紫文, 李鹏, 郎恂, 等. 基于变分模态分解和密度峰值快速搜索的电力负荷曲线可控聚类模型[J]. 电力系统保护与控制, 2021, 49(8): 118-127.
GU Ziwen, LI Peng, LANG Xun, et al. A controllable clustering model of the electrical load curve based on variational mode decomposition and fast search of the density peak[J]. Power System Protection and Control, 2021, 49(8): 118-127.
[24]
郑晓娇, 王斌, 李卜娟, 等. 基于参数优化变分模态分解的间谐波检测[J]. 电力系统保护与控制, 2022, 50(11): 71-80.
ZHENG Xiaojiao, WANG Bin, LI Bujuan, et al. Inter-harmonics detection based on parameter optimization variational mode decomposition[J]. Power System Protection and Control, 2022, 50(11): 71-80.
[25]
王娜娜, 廖清芬, 唐飞, 等. 基于割集能量及灵敏度的强迫功率振荡扰动源识别[J]. 电力自动化设备, 2013, 33(1): 75-80.
WANG Nana, LIAO Qingfen, TANG Fei, et al. Disturbance source identification based on cutset energy and sensitivity for forced power oscillation[J]. Electric Power Automation Equipment, 2013, 33(1): 75-80.
[26]
陈磊, 陈亦平, 闵勇, 等. 基于振荡能量的低频振荡分析与振荡源定位(二)振荡源定位方法与算例[J]. 电力系统自动化, 2012, 36(4): 1-5, 27.
CHEN Lei, CHEN Yiping, MIN Yong, et al. Low frequency oscillation analysis and oscillation source location based on oscillation energy part two method for oscillation source location and case studies[J]. Automation of Electric Power Systems, 2012, 36(4): 1-5, 27.
[27]
MA J, SHEN Y Q. Stability assessment of DFIG subsynchronous oscillation based on energy dissipation intensity analysis[J]. IEEE Transactions on Power Electronics, 2020, 35(8): 8074-8087.
[28]
陈磊, 王文婕, 王茂海, 等. 利用暂态能量流的次同步强迫振荡扰动源定位及阻尼评估[J]. 电力系统自动化, 2016, 40(19): 1-8.
CHEN Lei, WANG Wenjie, WANG Maohai, et al. Disturbance source location of subsynchronous forced oscillation and damping evaluation using transient energy flow[J]. Automation of Electric Power Systems, 2016, 40(19): 1-8.
[29]
曹娜, 赵旭, 于群. 基于暂态能量流的双馈风电机组强迫振荡源定位[J]. 电力系统自动化, 2020, 44(10): 103-110.
CAO Na, ZHAO Xu, YU Qun. Forced oscillation source location of doubly-fed wind turbine based on transient energy flow[J]. Automation of Electric Power Systems, 2020, 44(10): 103-110.
[30]
曹娜, 万珂, 于群. 考虑风速变化的双馈风电机组暂态能量函数及振荡分析[J]. 电力系统自动化, 2022, 46(20): 92-99.
CAO Na, WAN Ke, YU Qun. Transient energy function and oscillation analysis of doubly-fed wind turbines considering variation of wind speed[J]. Automation of Electric Power Systems, 2022, 46(20): 92-99.
[31]
朱林, 钟丹婷, 王贝, 等. 含转子侧控制器的双馈风机建模与次同步振荡机理分析[J]. 电力系统自动化, 2021, 45(13): 40-48.
ZHU Lin, ZHONG Danting, WANG Bei, et al. Modeling of doubly-fed wind turbine with rotor-side converter control and mechanism analysis of subsynchronous oscillation[J]. Automation of Electric Power Systems, 2021, 45(13): 40-48.

Funding

State Grid Corporation of China Research Program(5100-202199536A-0-5-ZN)
PDF(9375 KB)

Accesses

Citation

Detail

Sections
Recommended

/