Non-Stationary Voltage Flicker Envelope Parameters Detection Based on Adaptive Variational Mode Decomposition
Zhang Minyao, Gao Yunpeng, Wu Cong, Huang Rui, Cao Yijia
1. College of Electric and Information Engineering Hunan University Changsha 410082 China; 2. State Grid Hunan Electric Power Limited Company Changsha 410004 China
Abstract Focusing on the difficulty of non-stationary and time-varying voltage flicker envelope parameters detection, a voltage flicker envelope parameter detection method based on adaptive variational mode decomposition was proposed. Firstly, the voltage flicker envelope signal was rapidly extracted by the Hilbert transform, and then the loss coefficient and energy difference was used as the judgment basis to determine the number of modal decompositions, and the flicker envelope signal was decomposed by the adaptive variational mode decomposition; finally, the instantaneous amplitude and instantaneous frequency was obtained by Hilbert transform and the voltage flicker envelope parameters were confirmed, and the voltage flicker parameter detection test platform based on virtual instrument was developed. The simulation and actual measurement results show that the non-stationary voltage flicker envelope parameters can be accurately detected and analyzed by the proposed algorithm, and the interference of power grid frequency deviation, harmonics and noise can be effectively overcame. Compared with the existing detection methods, this method has higher accuracy.
Zhang Minyao,Gao Yunpeng,Wu Cong等. Non-Stationary Voltage Flicker Envelope Parameters Detection Based on Adaptive Variational Mode Decomposition[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 599-608.
[1] Chang G W, Chen Yiying, Lin Yu Luh.A synchros-queezing transform-based hybrid method for voltage fluctuations assessment[J]. IEEE Transactions on Power Delivery, 2018, 33(5): 2541-2550. [2] 蒋若彬, 韩钟宽, 关明锋, 等. 复杂组合下电弧炉的电压波动与闪变评估方法[J]. 电气技术, 2019, 20(4): 47-51. Jiang Ruobin, Han Zhongkuan, Guan Mingfeng, et al.Voltage fluctuation and flicker evaluation method for electric arc furnace under complicated combination[J]. Electrical Engineering, 2019, 20(4): 47-51. [3] Ruiz J, Gutierrez J J, Lazkano A, et al.A review of flicker severity assessment by the IEC flickermeter[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(8): 2037-2047. [4] Ammar M, Joós G.Impact of distributed wind generators reactive power behavior on flicker severity[J]. IEEE Transactions on Energy Conversion, 2013, 28(2): 425-433. [5] Srinivasan K.Digital measurement of voltage flicker[J]. IEEE Transactions on Power Delivery, 1991, 6(4): 1593-1598. [6] 高云鹏, 李峰, 陈婧, 等. 改进能量算子Nuttall窗频谱校正的闪变测量方法[J]. 仪器仪表学报, 2014, 35(4): 745-753. Gao Yunpeng, Li Feng, Chen Jing, et al.Voltage flicker measurement method using improved Teager-Kaiser energy operator based on Nuttall window spectral correction[J]. Chinese Journal of Scientific Instrument, 2014, 35(4): 745-753. [7] 王保帅, 肖霞. 一种用于谐波分析的高精度多谱线插值算法[J]. 电工技术学报, 2018, 33(3): 553-562. Wang Baoshuai, Xiao Xia.A high accuracy multi-spectrum-line interpolation algorithm for harmonic analysis[J]. Transactions of China Electrotechnical Society, 2018, 33(3): 553-562. [8] 李林, 高云鹏, 张韵琦, 等. 基于改进k值能量算子改进Chirp-Z变换的闪变包络参数提取[J]. 电工技术学报, 2018, 33(11): 2636-2646. Li Lin, Gao Yunpeng, Zhang Yunqi, et al.Voltage flicker envelope tracking based on improved k-value energy operator and improved Chirp-Z transform[J]. Transactions of China Electrotechnical Society, 2018, 33(11): 2636-2646. [9] 黄建明, 瞿合祚, 李晓明. 基于短时傅里叶变换及其谱峭度的电能质量混合扰动分类[J]. 电网技术, 2016, 40(10): 3184-3191. Huang Jianming, Qu Hezuo, Li Xiaoming.Classification for hybrid power quality disturbance based on STFT and its spectral kurtosis[J]. Power System Technology, 2016, 40(10): 3184-3191. [10] 易吉良, 周曼, 李中启, 等. 采用不完全S变换的复杂谐波参数估计[J]. 电工技术学报, 2018, 33(增刊1): 112-120. Yi Jiliang, Zhou Man, Li Zhongqi, et al.Complex harmonic parameters estimation using incomplete S transform[J]. Transactions of China Electrotechnical Society, 2018, 33(S1): 112-120. [11] 任祖华, 王柏林. 基于多分辨率S变换的电压闪变检测[J]. 电力自动化设备, 2014, 34(1): 27-31. Ren Zuhua, Wang Bolin.Voltage flicker detection based on multi-resolution S-transform[J]. Electric Power Automation Equipment, 2014, 34(1): 27-31. [12] Huang S J, Lu Chenwen.Enhancement of digital equivalent voltage flicker measurement via continuous wavelet transform[J]. IEEE Transactions on Power Delivery, 2004, 19(2): 663-670. [13] 李天云, 赵妍, 韩永强, 等. Hilbert-Huang变换方法在谐波和电压闪变检测中的应用[J]. 电网技术, 2005, 29(2): 73-77. Li Tianyun, Zhao Yan, Han Yongqiang, et al.Application of Hilbert-Huang transform method in detection of harmonic and voltage flicker[J]. Power System Technology, 2005, 29(2): 73-77. [14] 江辉, 王晓强, 彭建春. 基于希尔伯特-黄变换的电压闪变测量方法[J]. 电网技术, 2012, 36(9): 250-256. Jiang Hui, Wang Xiaoqiang, Peng Jianchun.Method to measure voltage flicker based on Hilbert-Huang Transform[J]. Power System Technology, 2012, 36(9): 250-256. [15] Önal Y, Gökhan Ece D, Nezih Gerek Ö.Hilbert-Huang transform based approach for measurement of voltage flicker magnitude and frequency[J]. Electric Power Components and Systems, 2015, 43(2): 167-176. [16] Dragomiretskiy K, Zosso D.Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 531-544. [17] Lian Jijian, Liu Zhuo, Wang Haijun, et al.Adaptive variational mode decomposition method for signal processing based on mode characteristic[J]. Mechanical Systems and Signal Processing, 2018, 107: 53-77. [18] 朱永利, 贾亚飞, 王刘旺, 等. 基于改进变分模态分解和Hilbert变换的变压器局部放电信号特征提取及分类[J]. 电工技术学报, 2017, 32(9): 221-235. Zhu Yongli, Jia Yafei, Wang Liuwang, et a1. Feature extraction and classification on partial discharge signals of power transformers based on improved variational mode decomposition and Hilbert transform[J]. Transactions of China Electrotechnical Society, 2017, 32(9): 221-235. [19] 刘长良, 武英杰, 甄成刚. 基于变分模态分解和模糊C均值聚类的滚动轴承故障诊断[J]. 中国电机工程学报, 2015, 35(13): 3358-3365. Liu Changliang, Wu Yingjie, Zhen Chenggang.Rolling bearing fault diagnosis based on variational mode decomposition and fuzzy C means clustering[J]. Proceedings of the CSEE, 2015, 35(13): 3358-3365. [20] 高艳丰, 朱永利, 闫红艳, 等. 基于VMD和TEO的高压输电线路雷击故障测距研究[J]. 电工技术学报, 2016, 31(1): 24-33. Gao Yanfeng, Zhu Yongli, Yan Hongyan, et al.Study on lighting fault locating of high-voltage transmission lines based on VMD and TEO[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 24-33. [21] 贾亚飞, 朱永利, 王刘旺, 等. 基于VMD和多尺度熵的变压器内绝缘局部放电信号特征提取及分类[J]. 电工技术学报, 2016, 31(19): 208-217. Jia Yafei, Zhu Yongli, Wang Liuwang, et al.Feature extraction and classification on partial discharge signals of power transformers based on VMD and multiscale entropy[J]. Transactions of China Electrotechnical Society, 2016, 31(19): 208-217. [22] 熊杰锋, 张绍勇, 程桂林, 等. IEC闪变仪归一化时变特性对线性精度的影响[J]. 电力系统自动化, 2018, 42(24): 175-184. Xiong Jiefeng, Zhang Shaoyong, Cheng Guilin, et al.Effect of normalized time-varying characteristic for IEC flickermeter on linear precision[J]. Automation of Electric Power Systems, 2018, 42(24): 175-184. [23] 安海清, 李振动, 岳娜, 等. 基于稀疏复原算法的风电并网电压闪变包络线提取[J]. 电力系统自动化, 2020, 44(7): 139-147. An Haiqing, Li Zhendong, Yue Na, et al.Envelope tracking of voltage flicker caused by wind power integration based on sparse recovery algorithm[J]. Automation of Electric Power Systems, 2020, 44(7): 139-147. [24] 宋向金, 王卓, 胡静涛, 等. Hilbert解调制方法诊断异步电机轴承故障[J]. 电工技术学报, 2018, 33(21): 4941-4948. Song Xiangjin, Wang Zhuo, Hu Jingtao, et al.Diagnosis of bearing fault in induction motors using Hilbert demodulation approach[J]. Transactions of China Electrotechnical Society, 2018, 33(21): 4941-4948.
2021, Vol. 36 
