Abstract
Detection of the high impedance fault caused by vegetation is one of the biggest challenges brought by the usage of covered conductors in medium voltage overhead power lines. One of the accompanying events of long-term contact of vegetation with the XLPE insulation is partial discharge which damages the insulation. Current systems for the detection of partial discharge have two major problems: the price and difficult installation. In this paper, an approach for the detection of the partial discharge from the data collected by the antenna is described. This approach is focused on the small computational demand and low false positive rate. Thanks to the small computational requirements, it can be run on the remote gateway devices which are collecting the data from the antenna. It is composed of four steps: outlier detection, outlier clustering, feature extraction, and classification. It is shown that this approach greatly improves the detection rate and lowers false positives compared to the previous algorithm used for partial discharge detection based on the data from an antenna, making it fit to use in the production environment.
Highlights
M EDIUM voltage (MV) overhead power lines are usually equipped with regular AlFe conductors, without any external insulation
Overall, accounting for the Excluded and N o Group time series in the final results would have no effect on the proposed model precision since there is no true positive or false positive observations and it would reduce the sensitivity slightly
A new method of particle discharge detection for the wireless sensor focused on low computational complexity and high precision was presented
Summary
M EDIUM voltage (MV) overhead power lines are usually equipped with regular AlFe conductors, without any external insulation. In a forested area, phase-to-ground and phase-to-phase faults often occur on such power lines because of the surrounding vegetation [1]. To eliminate such faults, AlFe conductors are being replaced with covered conductors (CC). The measuring equipment had to be connected to the examined power lines via sensors: a capacitive divider (for voltage signals) or Rogowski coil (current signal). These sensors must be suitable for MV usage, which makes them expensive. Fulnecek is with ENET Centre, VSB – Technical University of Ostrava, 17. listopadu 2172/15, 708 00 Ostrava-Poruba, Czech Republic
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