Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines

Surge protective devices (SPDs) are used in protecting low voltage distribution networks against lightning strike. Lightning strike not only produces overvoltage but also comes with discharge current. Even if the voltage is clamped by the SPD, the discharge current from the lightning strike may caus...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamzah I., Ramli A.Q.
Other Authors: 57221351727
Format: Conference paper
Published: 2023
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Tenaga Nasional
id my.uniten.dspace-30160
record_format dspace
spelling my.uniten.dspace-301602023-12-29T15:45:06Z Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines Hamzah I. Ramli A.Q. 57221351727 35779000400 Arresters lightning protection overvoltage protection surge protection Computer software Exhibitions Lightning arresters Lightning protection Overhead lines Overvoltage protection Surge protection Discharge currents Electrical installations Lightning activity Lightning strikes Low voltage distribution network PSCAD simulation Surge protective devices Voltage protection Probability Surge protective devices (SPDs) are used in protecting low voltage distribution networks against lightning strike. Lightning strike not only produces overvoltage but also comes with discharge current. Even if the voltage is clamped by the SPD, the discharge current from the lightning strike may cause SPD to fail. Normally, people look at clamping voltage (voltage protection level) without looking properly at the maximum allowable energy of SPD. This paper looks in the SPDs failure on the low voltage installation which been served by overhead lines. In this paper, the work is done in order to calculate the probability of SPDs failure based on the actual lightning data in Malaysia. The peak current is a probability phenomenon. By looking at the probability of lightning peak current and location of those lightning activities, it is possible to calculate the kind of induced voltage to appear on the electrical installation. From the calculated results, a better selection of SPD size to be installed can be assured. � 2011 IEEE. Final 2023-12-29T07:45:05Z 2023-12-29T07:45:05Z 2012 Conference paper 10.1109/ICUEPES.2011.6497707 2-s2.0-84876882018 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84876882018&doi=10.1109%2fICUEPES.2011.6497707&partnerID=40&md5=b3901d8a0be30d733f985f2359268626 https://irepository.uniten.edu.my/handle/123456789/30160 6497707 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Arresters
lightning protection
overvoltage protection
surge protection
Computer software
Exhibitions
Lightning arresters
Lightning protection
Overhead lines
Overvoltage protection
Surge protection
Discharge currents
Electrical installations
Lightning activity
Lightning strikes
Low voltage distribution network
PSCAD simulation
Surge protective devices
Voltage protection
Probability
spellingShingle Arresters
lightning protection
overvoltage protection
surge protection
Computer software
Exhibitions
Lightning arresters
Lightning protection
Overhead lines
Overvoltage protection
Surge protection
Discharge currents
Electrical installations
Lightning activity
Lightning strikes
Low voltage distribution network
PSCAD simulation
Surge protective devices
Voltage protection
Probability
Hamzah I.
Ramli A.Q.
Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
description Surge protective devices (SPDs) are used in protecting low voltage distribution networks against lightning strike. Lightning strike not only produces overvoltage but also comes with discharge current. Even if the voltage is clamped by the SPD, the discharge current from the lightning strike may cause SPD to fail. Normally, people look at clamping voltage (voltage protection level) without looking properly at the maximum allowable energy of SPD. This paper looks in the SPDs failure on the low voltage installation which been served by overhead lines. In this paper, the work is done in order to calculate the probability of SPDs failure based on the actual lightning data in Malaysia. The peak current is a probability phenomenon. By looking at the probability of lightning peak current and location of those lightning activities, it is possible to calculate the kind of induced voltage to appear on the electrical installation. From the calculated results, a better selection of SPD size to be installed can be assured. � 2011 IEEE.
author2 57221351727
author_facet 57221351727
Hamzah I.
Ramli A.Q.
format Conference paper
author Hamzah I.
Ramli A.Q.
author_sort Hamzah I.
title Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
title_short Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
title_full Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
title_fullStr Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
title_full_unstemmed Using a PSCAD simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
title_sort using a pscad simulation software in calculating the probability of surge protective devices failure in an installation served by overhead lines
publishDate 2023
_version_ 1806424352588038144