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Cross-Correlation Method for Power Arcing Source Monitoring System

Frank Zoko Ble(1*), Matti Lehtonen(2), Ari Sihvola(3), Charles Kim(4)

(1) Aalto University / Department of Electrical Engineering and Automation, Finland
(2) Aalto University / Department of Electrical Engineering and Automation, Finland
(3) Department of Electrical and Computer Engineering at Howard University, United States
(4) Aalto University / Department of Electrical Engineering and Automation, Finland
(*) Corresponding author


DOI: https://doi.org/10.15866/iree.v9i2.362

Abstract


Power arcs do not only cause important economic loss, but also lead to serious deterioration of the entire power system equipment. With the aging of the distribution networks, the development of power arcs detection and location techniques has been paid more attention. Once an arcing fault has been detected at a monitoring station its location is obtained from the electromagnetic radiation signals. The most common location techniques are based on Time Difference of Arrival (TDOA), Directional Finding (FD) and Propagation Attenuation (PA). In this paper, cross-correlation method in connection with TDOA is used to locate power arcing faults. In the experiment, strategically placed antennas and the arrival time’s delay of dominant component of the wide-band electromagnetic signals radiated from the sources are used. The power electric arc was produced by a tree leaning on a current conducting cable. The experiment proves that cross-correlation method combined with TDOA can be used to locate power arcs accurately.
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Keywords


Cross-Correlation; Power Arc; Electromagnetic Radiation; Antenna; Arc Source Location; Signal Processing; Time Delay Estimation

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References


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