@inproceedings{a82353dd9a04404bb961ec2e36d3c50c,
title = "Reliability Assessment of Medium Voltage Underground Cable Network Using a Failure Prediction Method",
abstract = "In recent years, electricity supply has become the driving force behind economic growth in many cities, urban areas and businesses around the world. As a result, utilities are under pressure to supply reliable electricity to their customers at all times. This paper emphasizes the importance of understanding underground cable failure in order to improve reliability and asset management decisions with respect to the underground distribution networks, which is a challenge and is costly. It presents the analysis of medium voltage underground cables for a case study in the City of Tshwane's substation, with the focus on identifying the causes of cable failures and present solutions. This is necessary as the quality of supply is tightly monitored by the national regulator. The failure data analysis for reliability is based on failure prediction methods and correlations of various variables such as network loading and seasonal behavior.",
keywords = "Correlations, Failure prediction, MV, PDF, Restoration time, Underground distribution networks",
author = "Mehlo, {N. A.} and Pretorius, {J. H.C.} and {Van Rhyn}, P.",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019 ; Conference date: 01-12-2019 Through 04-12-2019",
year = "2019",
month = dec,
doi = "10.1109/APPEEC45492.2019.8994720",
language = "English",
series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",
publisher = "IEEE Computer Society",
booktitle = "2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2019",
address = "United States",
}
