Statistical analysis of power quality disturbances propagation by means of the Method of Disturbances Interaction

The determination of power quality disturbances has been studied in the last twenty years from different perspectives. Current decomposition provides a suitable approach to determine how disturbances propagate among circuits. The application of Fryze-Buchholz-Depenbrock - FBD power theory revealed useful results, such application has been called Method of Disturbances Interaction. In this paper a statistical analysis of the indices is presented, showing that indices' statistical behavior provides additional information on the propagation and origin of disturbances. The Method and the statistical analysis is illustrated in a practical application, a discussion and conclusions are listed as well.

[1]  Athula Rajapakse,et al.  A pattern recognition approach for detecting power islands using transient signals — Part I: Design and implementation , 2011, 2011 IEEE Power and Energy Society General Meeting.

[2]  A. E. Emanuel,et al.  On the assessment of harmonic pollution [of power systems] , 1995 .

[3]  Andres Pavas,et al.  Method of Disturbances Interaction: Novel approach to assess responsibilities for steady state power quality disturbances among customers , 2010, Proceedings of 14th International Conference on Harmonics and Quality of Power - ICHQP 2010.

[4]  Wilsun Xu,et al.  An Investigation on the Validity of Power-Direction Method for Harmonic Source Determination , 2001 .

[5]  Tae-Ki An,et al.  A New Diverse AdaBoost Classifier , 2010, 2010 International Conference on Artificial Intelligence and Computational Intelligence.

[6]  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.

[7]  V. Staudt.  Fryze - Buchholz - Depenbrock: A time-domain power theory , 2008, 2008 International School on Nonsinusoidal Currents and Compensation.

[8]  Lorenzo Bruzzone,et al.  A residual-based approach to classification of remote sensing images , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.

[9]  Tolga Tasdizen,et al.  Fast AdaBoost training using weighted novelty selection , 2011, The 2011 International Joint Conference on Neural Networks.

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

[11]  S. Soter,et al.  A novel converter integrable impedance measuring method for islanding detection in grids with widespread use of decentral generation , 2006, International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006..

[12]  Yoav Freund,et al.  A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.

[13]  Lior Rokach,et al.  Top-down induction of decision trees classifiers - a survey , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[14]  Bradley P. Carlin,et al.  Bayesian Methods for Data Analysis , 2008 .

[15]  Wei Lee Woon,et al.  A Bayesian Passive Islanding Detection Method for Inverter-Based Distributed Generation Using ESPRIT , 2011, IEEE Transactions on Power Delivery.

[16]  Robert E. Schapire,et al.  The Strength of Weak Learnability , 1989, 30th Annual Symposium on Foundations of Computer Science.

[17]  Kwang-Ho Kim,et al.  An islanding detection method for distributed generations using voltage unbalance and total harmonic distortion of current , 2004 .

[18]  Lorenzo Peretto,et al.  Investigation on Multipoint Measurement Techniques for PQ Monitoring , 2006, IEEE Transactions on Instrumentation and Measurement.

[19]  A. Testa,et al.  An Index for Assessing the Responsibility for Injecting Periodic Disturbance , 2003 .

[20]  E. So,et al.  IEEE trial-use standard 1459-2000, definitions for the measurement of electric power quantities under sinusoidal, nonsinusoidal, balanced, or unbalanced conditions , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[21]  Fang Zheng Peng,et al.  Control for Grid-Connected and Intentional Islanding Operations of Distributed Power Generation , 2011, IEEE Transactions on Industrial Electronics.

[22]  S. R. Samantaray,et al.  Assessment of ROCPAD Relay for Islanding Detection in Distributed Generation , 2011, IEEE Transactions on Smart Grid.

[23]  Z. Q. John Lu,et al.  Bayesian methods for data analysis, third edition , 2010 .

[24]  S. Kennedy,et al.  Sandia Frequency-Shift Parameter Selection to Eliminate Nondetection Zones , 2009, IEEE Transactions on Power Delivery.

[25]  V. Staudt,et al.  Discussion on existing methodologies for the Responsibilities Assignment Problem , 2008, 2008 International School on Nonsinusoidal Currents and Compensation.

[26]  G. Joos,et al.  Data Mining Approach to Threshold Settings of Islanding Relays in Distributed Generation , 2007, IEEE Transactions on Power Systems.

[27]  David A. Landgrebe,et al.  A survey of decision tree classifier methodology , 1991, IEEE Trans. Syst. Man Cybern..

[28]  Carlo Muscas.  Assessment of electric power quality: indices for identifying disturbing loads , 2007 .

[29]  Alessandro Ferrero,et al.  Measurement of the electric power quality and related problems , 2007 .

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

[31]  A. P. J. Rens,et al.  On techniques for the localisation of multiple distortion sources in three‐phase networks: Time domain verification , 2001 .

[32]  Zhe Chen,et al.  A hybrid islanding detection technique using average rate of voltage change and real power shift , 2009, 2009 IEEE Power & Energy Society General Meeting.

[33]  Wilsun Xu,et al.  A "critical impedance"-based method for identifying harmonic sources , 2004, IEEE Transactions on Power Delivery.

[34]  Xizhao Wang,et al.  Multi-stage decision tree based on inter-class and inner-class margin of SVM , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

[35]  M. Depenbrock,et al.  The FBD-Method, A Generally Applicable Tool For Analyzing Power Relations , 1992, ICHPS V International Conference on Harmonics in Power Systems..

[36]  Alessandro Ferrero,et al.  A power-quality index based on multipoint measurements , 2003, 2003 IEEE Bologna Power Tech Conference Proceedings,.

[37]  Volker Staudt,et al.  Experimental investigation of existing methodologies for the Responsibilities Assignment Problem , 2009, 2009 IEEE Bucharest PowerTech.