Resonance analysis using wavelet packet transform in clustered grid-connected PV system

With the growing permeability of parallel inverters in the grid, resonance problem has frequently appeared in new energy systems and seriously affected the power quality around the world. Besides, resonance analysis is attracting more and more attention recently. Therefore, resonance problem of the clustered grid-connected photovoltaic (PV) system is urgent to be studied. To solve this problem, this paper analyzes the resonance detection principle. Moreover, wavelet packet transform principle is also analyzed. And resonance detection method is proposed based on wavelet packet transform. Finally, an algorithm is proposed in this paper to detect the resonance in traditional grid-connected PV system and clustered grid-connected PV system. Simulations verify the effectiveness of the proposed method for resonance problem in clustered grid-connected PV system.

[1]  Donald Grahame Holmes,et al.  Grid current regulation of a three-phase voltage source inverter with an LCL input filter , 2003 .

[2]  César David Paredes Crovato,et al.  The Use of Wavelet Packet Transform and Artificial Neural Networks in Analysis and Classification of Dysphonic Voices , 2007, IEEE Transactions on Biomedical Engineering.

[3]  K. Wong,et al.  Antidistortion method for wavelet transform filter banks and nonstationary power system waveform harmonic analysis , 2001 .

[4]  Edward J. Powers,et al.  Characterization of distribution power quality events with Fourier and wavelet transforms , 2000 .

[5]  Yuan F. Zheng,et al.  A Wavelet-Packet-Based Radar Waveform for High Resolution in Range and Velocity Detection , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Ahmed Braham,et al.  Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis , 2015, IEEE Transactions on Industrial Informatics.

[7]  Witold Pedrycz,et al.  Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification , 2005, IEEE Transactions on Biomedical Engineering.

[8]  Z. Gaing Wavelet-based neural network for power disturbance recognition and classification , 2004 .

[9]  Abdourrahmane M. Atto,et al.  Wavelet Packets of Nonstationary Random Processes: Contributing Factors for Stationarity and Decorrelation , 2012, IEEE Transactions on Information Theory.

[10]  J L Agorreta,et al.  Modeling and Control of $N$ -Paralleled Grid-Connected Inverters With LCL Filter Coupled Due to Grid Impedance in PV Plants , 2011, IEEE Transactions on Power Electronics.

[11]  P.J.M. Heskes,et al.  Harmonic interaction between a large number of distributed power inverters and the distribution network , 2004, IEEE Transactions on Power Electronics.

[12]  Zwe-Lee Gaing,et al.  Wavelet-based neural network for power disturbance recognition and classification , 2004, IEEE Transactions on Power Delivery.

[13]  Marco Liserre,et al.  Wavelet-Based Islanding Detection in Grid-Connected PV Systems , 2009, IEEE Transactions on Industrial Electronics.

[14]  Yongming Huang,et al.  Extraction of adaptive wavelet packet filter-bank-based acoustic feature for speech emotion recognition , 2015, IET Signal Process..

[15]  Reza Mohseni,et al.  Systematic approach in designing wavelet packet modulation-orthogonal frequency division multiplexing radar signal by applying the criterion of least-squares , 2014, IET Signal Process..