Author:
Vantuch Tomáš,Prílepok Michal,Fulneček Jan,Hrbáč Roman,Mišák Stanislav
Abstract
High impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy background noise. In this paper, a new approach for partial discharge pattern recognition is presented. All results were obtained on data, acquired from real 22 kV medium voltage overhead power line with covered conductors. The proposed method is based on a text compression algorithm and it serves as a signal similarity estimation, applied for the first time on partial discharge pattern. Its relevancy is examined by three different variations of classification model. The improvement gained on an already deployed model proves its quality.
Funder
Ministry of Education, Youth and Sports of the Czech Republic
Subject
Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)
Reference39 articles.
1. Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks
2. Detection of Incipient Tree Faults on High Voltage Covered Conductor Lines;Pakonen,2007
3. Surface Discharge Characteristics on HDPE, LDPE and PP
4. Partial Discharge Detection for Condition Monitoring of Covered-Conductor Overhead Distribution Networks Using Rogowski Coil;Hashmi,2008
5. Testing of a Covered Conductor’s Fault Detectors
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献