Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia

This paper provides an overview of the cloud-to-ground lightning events recorded by a lightning detection system (LDS) network in Peninsular Malaysia between 2018 and 2022. The existing LDS comprises five sensors, a central processor, a database management system, and real-time terminals for display...

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Main Authors: Hatta N.M., Abdullah N., Osman M., Mohamad A.
Other Authors: 55611430000
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2024
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spelling my.uniten.dspace-346192024-10-14T11:21:09Z Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia Hatta N.M. Abdullah N. Osman M. Mohamad A. 55611430000 26422769600 7201930315 57225208957 detection efficiency lightning location system network lightning sensor location accuracy Clouds Lightning protection Cloud-to-ground lightning Detection efficiency Lightning datum Lightning detection Lightning location system network Lightning location systems Lightning sensor Location accuracy Malaysia Systems networks Overhead lines This paper provides an overview of the cloud-to-ground lightning events recorded by a lightning detection system (LDS) network in Peninsular Malaysia between 2018 and 2022. The existing LDS comprises five sensors, a central processor, a database management system, and real-time terminals for displaying lightning activity. In 2017, after fourteen years of operation, the network underwent an upgrade to the most recent system offered by Vaisala Inc., USA. This upgrade introduced the latest sensor generation technology, LDSN enhancements, and improvements in network performance. Additionally, the paper will discuss the utilization of collected cloud-to-cloud lightning data to enhance the reliability of distribution overhead lines. � 2023 IEEE. Final 2024-10-14T03:21:09Z 2024-10-14T03:21:09Z 2023 Conference Paper 10.1109/APL57308.2023.10181750 2-s2.0-85166738316 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166738316&doi=10.1109%2fAPL57308.2023.10181750&partnerID=40&md5=a9850f6522821a5048f58c396dfbfa82 https://irepository.uniten.edu.my/handle/123456789/34619 Institute of Electrical and Electronics Engineers Inc. 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 detection efficiency
lightning location system network
lightning sensor
location accuracy
Clouds
Lightning protection
Cloud-to-ground lightning
Detection efficiency
Lightning datum
Lightning detection
Lightning location system network
Lightning location systems
Lightning sensor
Location accuracy
Malaysia
Systems networks
Overhead lines
spellingShingle detection efficiency
lightning location system network
lightning sensor
location accuracy
Clouds
Lightning protection
Cloud-to-ground lightning
Detection efficiency
Lightning datum
Lightning detection
Lightning location system network
Lightning location systems
Lightning sensor
Location accuracy
Malaysia
Systems networks
Overhead lines
Hatta N.M.
Abdullah N.
Osman M.
Mohamad A.
Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
description This paper provides an overview of the cloud-to-ground lightning events recorded by a lightning detection system (LDS) network in Peninsular Malaysia between 2018 and 2022. The existing LDS comprises five sensors, a central processor, a database management system, and real-time terminals for displaying lightning activity. In 2017, after fourteen years of operation, the network underwent an upgrade to the most recent system offered by Vaisala Inc., USA. This upgrade introduced the latest sensor generation technology, LDSN enhancements, and improvements in network performance. Additionally, the paper will discuss the utilization of collected cloud-to-cloud lightning data to enhance the reliability of distribution overhead lines. � 2023 IEEE.
author2 55611430000
author_facet 55611430000
Hatta N.M.
Abdullah N.
Osman M.
Mohamad A.
format Conference Paper
author Hatta N.M.
Abdullah N.
Osman M.
Mohamad A.
author_sort Hatta N.M.
title Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
title_short Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
title_full Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
title_fullStr Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
title_full_unstemmed Statistical Cloud-to-Ground Lightning Data and Its Implementation for 33kV Overhead Line in Peninsular Malaysia
title_sort statistical cloud-to-ground lightning data and its implementation for 33kv overhead line in peninsular malaysia
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2024
_version_ 1814061129918316544
score 13.209306