Novel Methods for Arcing Fault Detection and Location in Power Distribution Systems

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Journal Title
Journal ISSN
Volume Title
School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2018-01-12
Date
2017
Major/Subject
Mcode
Degree programme
Language
en
Pages
66 + app. 100
Series
Aalto University publication series DOCTORAL DISSERTATIONS, 211/2017
Abstract
Conventional power system protection functions mainly deal with currents and voltages associated with faults and most protection devices monitor current, voltage, or impedance against critical setting values. However, in many arc fault conditions of earlier stage, the arc associated current amount is under the setting of relays, and subsequently the arc continues to burn undetected. Power arc generates electromagnetic signals. Radiation producing power arcs can originate from different sources and causes, like due to tree leaning on energized conductors, downed conductor or broken insulators. This thesis first investigates the characteristics of these electromagnetic signals and then examines algorithms for arc fault location using laboratory produced arcs. Using strategically placed antennas the electric arc electromagnetic (EM) radiation can be detected at remote distance and, to some extent, the arc source location can also be determined. This work investigates feasibility of detecting and locating the actual arc source point in 3D Cartesian plane through the multiple radiation detection and location methods. In this study the following six different arcing fault detection and location methods are compared in pinpointing electric arc electromagnetic (EM) sources in power systems: cross-correlation method (XCORR), first peak of arrival method (FPA), leading edge of first arrival peak method (LEFAP), energy attenuation method (ENERGY) or inverse square method, angle of arrival method (AoA), and wavelet analysis (WAVELET). It is evident that the interpretation of the results based on these six methods depends to some extent on statistical methods; therefore, the methods undergo statistical analysis evaluation in order to determine a suitable power arc location algorithm which can be used in real field measurements. Specifically, analysis of variance (ANOVA) and multiple linear regressions (MLR) are applied for statistical estimation and for comparison of the results with the actual source point. The results show that it is feasible for the six methods, using the radiated signals from arcing fault, to detect and locate the arcing source with a reasonable accuracy. The cross-correlation among these proposed methods shows a better potential in clarifying the electric arc source position when compared with other algorithms.
Description
Supervising professor
Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
Thesis advisor
Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
Keywords
arcing fault, earth fault, fault location, power distribution
Other note
Parts
  • [Publication 1]: Zoko Ble, F; Lehtonen, M; Sihvola, A; Kim, C; Cross-Correlation Method for Power Arcing Source Monitoring System, International Review of Electrical Engineering (IREE), on Vol. 9, No 2 (2014); p. 440-452.
    DOI: 10.15866/iree.v9i2.362 View at publisher
  • [Publication 2]: Zoko Ble, F; Lehtonen, M; Sihvola, A; Kim, C; Power Arcing Source Location Using First Peak of Arrival of RF-Signal, International Review of Electrical Engineering (IREE), on Vol. 9, No 4 (2014); p 873-881.
    DOI: 10.15866/iree.v9i4.2834 View at publisher
  • [Publication 3]: Zoko Ble, F; Lehtonen, M; Sihvola, A; Kim, C; Leading Edge Detection of RF-Signal for Power Arcing Source Location, International Review of Electrical Engineering (IREE), on Vol. 9, No 5 (2014); p. 1060-1070.
    DOI: 10.15866/iree.v9i5.3772 View at publisher
  • [Publication 4]: Zoko Ble, F; Lehtonen, M; Kim, C; Novel Approach of Arcing Faults Electromagnetic Radiated Energy Source Location Using Antennas in Power Systems, International Review of Electrical Engineering (IREE), on Vol. 9, No 5 (2014); p 1049-1059.
    DOI: 10.15866/iree.v9i5.4218 View at publisher
  • [Publication 5]: Zoko Ble, F; Lehtonen, M; Kim, C; Arcing Faults Localization Using RF-Signal Angle of Arrival Method, International Review of Electrical Engineering (IREE), on Vol. 9, No 6 (2014); p 1136-1147.
    DOI: 10.15866/iree.v9i6.4257 View at publisher
  • [Publication 6]: Zoko Ble, F; Hussain, Amjad G; Lehtonen, M; Kim, C; Detection and Localization of Arcing Fault Radiated Electromagnetic Signals Using Antennas and Wavelet Analysis, International Review of Electrical Engineering (IREE), on Vol. 9, No 6 (2014); p 1128-1135.
    DOI: 10.15866/iree.v9i6.4588 View at publisher
  • [Publication 7]: Zoko Ble, F; Lehtonen, M; Kim, C; Experimental Investigation of Power Systems Arcing Faults Electromagnetic Source Characteristics, 19th International Symposium on High Voltage Engineering (ISH), Pilsen Czech Republic, August 23-28, 2015
  • [Publication 8]: Zoko Ble, F; Lehtonen, M; Kim, C; Comparison of Power Arcing Faults Electromagnetic Source Detection and Location Methods, 19th International Symposium on High Voltage Engineering (ISH), Pilsen Czech Republic, August 23-28, 2015 28, 2015
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