A New Islanding Detection Method Based on Feature Recognition Technology

Three-phase grid-connected inverters are widely applied in the fields of new energy power generation, electric vehicles and so on. Islanding detection is necessary to ensure the stability and safety of such systems. In this paper, feature recognition technology is applied and a novel islanding detection method is proposed. It can identify the features of inverter systems. The theoretical values of these features are defined as codebooks. The difference between the actual value of a feature and the codebook is defined as the quantizing distortion. When islanding happens, the sum of the quantizing distortions exceeds the threshold value. Thus, islanding can be detected. The non-detection zone can be avoided by choosing reasonable features. To accelerate the speed of detection and to avoid miscalculation, an active islanding detection method based on feature recognition technology is given. Compared to the active frequency or phase drift methods, the proposed active method can reduce the distortion of grid-current when the inverter works normally. The principles of the islanding detection method based on the feature recognition technology and the improved active method are both analyzed in detail. An 18 kVA DSP-based three-phase inverter with the SVPWM control strategy has been established and tested. Simulation and experimental results verify the theoretical analysis.

[1]  S. Mishra,et al.  A Seamless Control Methodology for a Grid Connected and Isolated PV-Diesel Microgrid , 2013, IEEE Transactions on Power Systems.

[2]  Bin Wu,et al.  Improved Active Frequency Drift Anti-islanding Detection Method for Grid Connected Photovoltaic Systems , 2012, IEEE Transactions on Power Electronics.

[3]  Sébastien Marcel,et al.  A Scalable Formulation of Probabilistic Linear Discriminant Analysis: Applied to Face Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Sheng-Wen Shih,et al.  Autofocus of Iris Patterns Using a Triangle Aperture , 2013, IEEE Transactions on Cybernetics.

[5]  P. K. Jain,et al.  Problems of Startup and Phase Jumps in PLL Systems , 2012, IEEE Transactions on Power Electronics.

[6]  M. Karrari,et al.  Application of Duffing Oscillators for Passive Islanding Detection of Inverter-Based Distributed Generation Units , 2012, IEEE Transactions on Power Delivery.

[7]  Yun Wei Li,et al.  Hybrid Voltage and Current Control Approach for DG-Grid Interfacing Converters With LCL filters , 2013, IEEE Transactions on Industrial Electronics.

[8]  Bhim Singh,et al.  Harmonic elimination, reactive power compensation and load balancing in three-phase, four-wire electric distribution systems supplying non-linear loads , 1998 .

[9]  Magdy M. A. Salama,et al.  Impact of Load Frequency Dependence on the NDZ and Performance of the SFS Islanding Detection Method , 2011, IEEE Transactions on Industrial Electronics.

[10]  Soo Hyoung Lee,et al.  Improvement on Stability and Islanding Detection Performances by Advanced Inverter Control of DG , 2013, IEEE Transactions on Power Systems.

[11]  Marco Liserre,et al.  Performance Evaluation of Active Islanding-Detection Algorithms in Distributed-Generation Photovoltaic Systems: Two Inverters Case , 2011, IEEE Transactions on Industrial Electronics.

[12]  Daming Zhang,et al.  Modeling of islanding detection by sensing jump change of harmonic voltage at PCC by the combination of a narrow band-pass filter and wavelet analysis , 2013, 2013 IEEE ECCE Asia Downunder.

[13]  James J. Little,et al.  Incremental Learning for Video-Based Gait Recognition With LBP Flow , 2013, IEEE Transactions on Cybernetics.

[14]  Jia Li,et al.  Research on a novel method for improving inverter output waveforms , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[15]  Antonio Cataliotti,et al.  Hybrid passive and communications-based methods for islanding detection in medium and low voltage smart grids , 2013, 4th International Conference on Power Engineering, Energy and Electrical Drives.

[16]  Mitchell McLaren,et al.  Total variability modelling for face verification , 2012, IET Biom..

[17]  Jason W. Pelecanos,et al.  Using Polynomial Kernel Support Vector Machines for Speaker Verification , 2013, IEEE Signal Processing Letters.

[18]  Douglas D. O'Shaughnessy,et al.  Whispered speaker verification and gender detection using weighted instantaneous frequencies , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[19]  Chung-Yuen Won,et al.  An Islanding Detection Method for a Grid-Connected System Based on the Goertzel Algorithm , 2011, IEEE Transactions on Power Electronics.

[20]  Sidelmo M. Silva,et al.  A fourier-based PLL for Single-Phase grid connected systems , 2010, 2010 IEEE Energy Conversion Congress and Exposition.

[21]  Danny Crookes,et al.  CLOSE—A Data-Driven Approach to Speech Separation , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[22]  Hannu Laaksonen,et al.  Advanced Islanding Detection Functionality for Future Electricity Distribution Networks , 2013, IEEE Transactions on Power Delivery.

[23]  Chen Shousun,et al.  Harmonic survey and solutions of Xining power grid in western China , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[24]  P. Regulski,et al.  Assessment of Frequency and Harmonic Distortions During Wind Farm Rejection Test , 2013, IEEE Transactions on Sustainable Energy.

[25]  Tomi Kinnunen,et al.  Real-time speaker identification and verification , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[26]  Hynek Hermansky,et al.  Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[27]  Man-Wai Mak,et al.  Boosting the Performance of I-Vector Based Speaker Verification via Utterance Partitioning , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[28]  R.A. Modesto,et al.  Single-phase PLL structure using modified p-q theory for utility connected systems , 2008, 2008 IEEE Power Electronics Specialists Conference.

[29]  P. Garcia,et al.  Active Islanding Detection for Multiple Parallel-Connected Inverter-Based Distributed Generators Using High-Frequency Signal Injection , 2014, IEEE Transactions on Power Electronics.

[30]  Hervé Bourlard,et al.  MLP-based factor analysis for tandem speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[31]  Bangyin Liu,et al.  An Islanding Detection Method Based on Dual-Frequency Harmonic Current Injection Under Grid Impedance Unbalanced Condition , 2013, IEEE Transactions on Industrial Informatics.

[32]  Ken Nagasaka,et al.  Three Control Strategies to Improve the Microgrid Transient Dynamic Response During Isolated Mode: A Comparative Study , 2013, IEEE Transactions on Industrial Electronics.

[33]  Hee-Je Kim,et al.  A Novel Grid Synchronization PLL Method Based on Adaptive Low-Pass Notch Filter for Grid-Connected PCS , 2014, IEEE Transactions on Industrial Electronics.

[34]  Qi Zhang,et al.  Research on an novel active anti-islanding method based on positive feedback of even harmonic current disturbance , 2011, 2011 IEEE Power Engineering and Automation Conference.

[35]  Ricardo Quadros Machado,et al.  Operation of a Three-Phase Power Converter Connected to a Distribution System , 2013, IEEE Transactions on Industrial Electronics.

[36]  Balaji Vasan Srinivasan,et al.  A Symmetric Kernel Partial Least Squares Framework for Speaker Recognition , 2013, IEEE Transactions on Audio, Speech, and Language Processing.