A pattern recognition approach for detecting power islands using transient signals — Part I: Design and implementation

A novel, pattern-recognition-based approach for fast detection of power islands in a distribution network is investigated. The proposed method utilizes transient signals generated during an islanding event to detect the formation of the island. A decision-tree classifier is trained to categorize the transient generating events as “islanding” or “non-islanding.” The feature vectors required for classification were extracted from the transient current and voltage signals through discrete wavelet transform. The proposed technique is tested on a medium-voltage distribution system with multiple distributed generators. The results indicate that this technique can accurately detect islanding events very fast.

[1]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[2]  N.W. Miller,et al.  Distributed generation islanding-implications on power system dynamic performance , 2002, IEEE Power Engineering Society Summer Meeting,.

[3]  Wilsun Xu,et al.  A practical method for assessing the effectiveness of vector surge relays for distributed generation applications , 2004, IEEE Transactions on Power Delivery.

[4]  Jan F. Kreider,et al.  Distributed Generation : The Power Paradigm for the New Millennium , 2001 .

[5]  Digambar M. Tagare.  Interconnecting Distributed Resources with Electric Power Systems , 2011 .

[6]  Wilsun Xu,et al.  Comparative analysis between ROCOF and vector surge relays for distributed generation applications , 2005, IEEE Transactions on Power Delivery.

[7]  N. Perera.  Rapid isolation of faults in power networks with distributed generators , 2007 .

[8]  T. Y. Ismail.  The implications of embedded generation on the NGC transmission system , 1998 .

[9]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[10]  Nick Jenkins,et al.  Embedded Generation (Power & Energy Ser. 31) , 2000 .

[11]  Toshihisa Funabashi,et al.  A review of islanding detection methods for distributed resources , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[12]  J. S. Mayer,et al.  Wavelets and electromagnetic power system transients , 1996 .

[13]  G. Joos,et al.  Intelligent-Based Approach to Islanding Detection in Distributed Generation , 2007, IEEE Transactions on Power Delivery.

[14]  Patrick Webb,et al.  Classification and Regression Trees, CART: A User Manual For Identifying Indicators of Vulnerability to Famine And Chronic Food Insecurity , 1999 .

[15]  S. Chen,et al.  Feature selection for identification and classification of power quality disturbances , 2005, IEEE Power Engineering Society General Meeting, 2005.

[16]  S.M. Rovnyak,et al.  Decision tree-based methodology for high impedance fault detection , 2004, IEEE Transactions on Power Delivery.

[17]  Chul-Hwan Kim,et al.  Wavelet transforms in power systems Part 2 Examples of application to actual power system transients , 2001 .

[18]  Hans B. Puttgen,et al.  Distributed generation: Semantic hype or the dawn of a new era? , 2003 .

[19]  Denis Allard,et al.  CART algorithm for spatial data: Application to environmental and ecological data , 2009, Comput. Stat. Data Anal..

[20]  Wei-Yin Loh,et al.  Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..

[21]  G. Hodgkinson.  System implications of embedded generation and its protection and control. PES perspective , 1998 .

[22]  Marco Liserre,et al.  Wavelet-Based Islanding Detection Algorithm for Single-Phase Photovoltaic (PV) Distributed Generation Systems , 2007, 2007 IEEE International Symposium on Industrial Electronics.

[23]  J. E. Kim,et al.  Islanding detection method of distributed generation units connected to power distribution system , 2000, PowerCon 2000. 2000 International Conference on Power System Technology. Proceedings (Cat. No.00EX409).

[24]  Shyh-Jier Huang,et al.  Enhancement of islanding-detection of distributed generation systems via wavelet transform-based approaches , 2008 .

[25]  N. W. A. Lidula,et al.  Fast and reliable detection of power islands using transient signals , 2009, 2009 International Conference on Industrial and Information Systems (ICIIS).

[26]  Chul-Hwan Kim,et al.  Wavelet transforms in power systems. I. General introduction to the wavelet transforms , 2000 .

[27]  H.A. Darwish,et al.  Investigation of Real-Time Implementation of DSP-Based DWT for Power System Protection , 2006, 2005/2006 IEEE/PES Transmission and Distribution Conference and Exhibition.

[28]  M. E. Hamedani Golshan,et al.  Distributed generation, reactive sources and network-configuration planning for power and energy-loss reduction , 2006 .

[29]  N. Perera,et al.  Investigation of a fast islanding detection methodology using transient signals , 2009, 2009 IEEE Power & Energy Society General Meeting.

[30]  Nurgun Erdol,et al.  Arbitrary tilings of phase space , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[31]  Fabrizio Giulio Luca Pilo,et al.  Distributed generation siting and sizing under uncertainty , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).