Characterization of event databases for locating faults in radial power systems

  • Sandra Milena Pérez Universidad Tecnológica de Pereira
  • Juan José Mora-Flórez Universidad Tecnológica de Pereira
  • Alejandro Garcés Ruiz Universidad Tecnológica de Pereira
Keywords: Power quality, signal characterization, fault location, model based methods, knowledge based methods


In this paper, an approach for characterizing event databases composed of voltage and current signals measured at a distribution substation during faults is presented. Voltage and current features or descriptors obtained from such signals and knowledge based methods are proposed for locating faults in power distribution systems. As it is shown, this is a simple, efficient and economical option that takes advantage of all the information directly related to the fault location contained in the signal measured at the distribution substation. The characterization proposed here constitutes a fundamental step towards the development of knowledge based methods. These are mixed with model based methods to obtain efficient and fast hybrid fault location algorithms to be applied in power distribution systems.

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Author Biographies

Sandra Milena Pérez, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3)- Programa de Ingeniería Eléctrica

Juan José Mora-Flórez, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3)- Programa de Ingeniería Eléctrica

Alejandro Garcés Ruiz, Universidad Tecnológica de Pereira

Grupo de Investigación en Calidad de Energía Eléctrica y Estabilidad (ICE3)- Programa de Ingeniería Eléctrica


J. Mora, G. Carrillo, B. Barrera. “Fault Location in Power Distribution Systems Using a Learning Algorithm for Multivariable Data Analysis”. IEEE Transaction on Power Delivery. Vol. 22. 2007. pp. 1715-1721.

IEEE Std C37.114. “IEEE Guide for Determining Fault Location on AC Transmission and Distribution Lines”. Power System Relaying Committee. 2005. pp. 1-36

IEEE Std C62.48. “IEEE Guide on Interactions between Power System Disturbances and Surge-Protective Devices” Surge-Protective Devices Committee. 2005. pp. 1-20

J. Zhu, D. Lubkeman, A. Girgis. “Automated fault location and diagnosis on electric power distribution feeders”. IEEE Transactions on Power Delivery.1997. pp. 801-809.

L. Sousa, J. Martins, V. Fernao, V. Alegria. “A network Distribution Power System Fault location based on Neural Eigenvalue Algorithm”. IEEE Bologna Power Tech. 2003. pp. 210-216.

J. Waissman. Construction d’un Modele Comportemental pour la Supervision de Procedes: Application a une Station de Traitement des Eaux. Thèse, Institut national Polytechnique de Toulouse. France. 2000. pp. 15-62.

D. Thukaram, H. P. Khincha, H. P. Vijaynarasimha. “Artificial Neural Network and Support Vector Machine Approach for Locating Faults in Radial. Distribution Systems”. IEEE Transactions on Power Delivery, Vol. 20. 2005. pp. 710-721.

E. Senger, G.Manassero, C. Goldemberg, E. Lorenzetti. “Automated Fault Location System for Primary Distribution Networks”. IEEE Transactions on Power Delivery. Vol. 20. 2005. pp. 1332-1340.

R. Das. Determining the locations of faults in distribution systems. Doctoral thesis. University of

Saskatchewan Saskatoon. Canada. 1998. pp. 24-153.

D. Novosel, D. Hart, J. Myllymaki. System for locating faults and estimating fault resistance in distribution networks with tapped loads. 1998. US Patent number 5,839,093.

M. Son Choi, S. Lee, D. Lee, B. Jin. “A new fault location algorithm using direct circuit analysis for distribution systems”. IEEE Transactions on Power Systems 2004. pp. 35-41.

R. K Aggarwal Y., Aslan, A.T. Johns. “An interactive approach to fault location on overhead distribution lines with load taps”. IEE Developments in Power System Protection. Conference Publication N.° 434. 1997. pp. 184-187.

IEEE Std 493. “IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems” Power Systems Reliabilty Subcommittee. 1997. pp. 24-53.

A. Greewood. Electrical Transients in Power Systems. Renselarch Polytechnic Institute. 2nd ed. Ed. John Wiley and Sons. New York. 1991. pp. 125-320.

L. Sousa, V. Fernao, V. Alegria. “A new accurate fault location method using αβ space vector algorithm”. XIV Power System Control Conference. 2002. pp. 1-6.

IEEE Task Force on Load Representation for Dynamic Performance. “Load representation for dynamic performance analysis of power systems”. IEEE Transactions on Power Systems. Vol. 8. 1993. pp. 472- 482.

A. Sepälä. Load research and estimation in electricity distribution. Doctoral thesis. Technical research centre of Finland. 1996. pp. 13-58.

E. Lakervi, E. J. Holmes. Electricity distribution network design. Ed. Peter Peregrinus Ltda. London. 1989. pp. 25-52.

Z. Gaing. “Wavelet-Based Neural Network for Power Disturbance Recognition and Classification”. IEEE Transactions on Power Delivery. Vol. 19. 2004. pp. 1560-1568.

M. Martínez. Análisis y medida de procesos no estacionarios en el domino tiempo frecuencia. Doctoral thesis. Universidad Politécnica de Madrid. 2002. pp. 34-76.

M. Karami, H. Mokthari, R. Iravani. “Wavelet Based On Line Disturbance Detection for Power Quality Applications”. IEEE Transactions on Power Delivery. Vol 15. 2000. pp. 1212-1220.

A. Oppenheim, S. Willsky. S. Hamid Nawab. Signals and Systems. Englewood Cliffs. N. J. Ed. Prentice Hall. 1997. pp. 20-58.

How to Cite
Pérez S. M., Mora-Flórez J. J., & Garcés Ruiz A. (2013). Characterization of event databases for locating faults in radial power systems. Revista Facultad De Ingeniería Universidad De Antioquia, (48), 141-152. Retrieved from