Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system

In modern railway traffic systems, direct current (DC) electrification is a prevalent choice, with numerous traction networks adopting a variety of voltage levels to accommodate varying load current dynamics. These dynamics are influenced by passenger density, aggregate demand for electrical power,...

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Main Authors: Kumar, Vimal Rajan Bharatha, Othman, Mohammad Lutfi, Wahab, Noor Izzri Abdul, Hizam, Hashim Hashim Bin, Uddin, Mohammad Nasir, Razaei, Nima, Raj, Andrew Xavier, Gopalakrishnan, Shiva, Rahman, Tasmeea
Format: Article
Published: IEEE 2024
Online Access:http://psasir.upm.edu.my/id/eprint/105727/
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author Kumar, Vimal Rajan Bharatha
Othman, Mohammad Lutfi
Wahab, Noor Izzri Abdul
Hizam, Hashim Hashim Bin
Uddin, Mohammad Nasir
Razaei, Nima
Raj, Andrew Xavier
Gopalakrishnan, Shiva
Rahman, Tasmeea
author_facet Kumar, Vimal Rajan Bharatha
Othman, Mohammad Lutfi
Wahab, Noor Izzri Abdul
Hizam, Hashim Hashim Bin
Uddin, Mohammad Nasir
Razaei, Nima
Raj, Andrew Xavier
Gopalakrishnan, Shiva
Rahman, Tasmeea
author_sort Kumar, Vimal Rajan Bharatha
building UPM Institutional Repository
collection Online Access
description In modern railway traffic systems, direct current (DC) electrification is a prevalent choice, with numerous traction networks adopting a variety of voltage levels to accommodate varying load current dynamics. These dynamics are influenced by passenger density, aggregate demand for electrical power, headways, and frequency of locomotive operations. Load currents are prone to surges during periods of dense traffic and transient phases such as acceleration, deceleration, and the start–stop sequences of trains. Such surges hold the potential to precipitate fault currents within the traction system, which are similar to those engendered by external anomalies. Conventional protection systems, such as the Détection Défaut Ligne’—French for ’Line Fault Detection), may not always effectively identify remote faults or prolonged overcurrent situations. These scenarios necessitate an advancement beyond the traditional fault detection methodologies, which are primarily reliant on fixed thresholds and may not account for the dynamic nature of the railway system’s electrical load. This paper addresses the limitations inherent in the existing DDL protection mechanisms by focusing on the feeder attributes specific to the DC Traction System. In pursuit of this objective, we introduce an innovative adaptive current DDL algorithm to refine the rigid threshold paradigm inherent in the conventional approach. To facilitate a pragmatic assessment, the Rapid Rail network of Malaysia serves as a reference for emulating the railway’s electrical system. This comprehensive analysis yields insights that are potentially useful for safety protocols in DC electrified railroad traffic systems. Authors
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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T13:51:15Z
publishDate 2024
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spelling upm-1057272024-05-30T04:05:37Z http://psasir.upm.edu.my/id/eprint/105727/ Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system Kumar, Vimal Rajan Bharatha Othman, Mohammad Lutfi Wahab, Noor Izzri Abdul Hizam, Hashim Hashim Bin Uddin, Mohammad Nasir Razaei, Nima Raj, Andrew Xavier Gopalakrishnan, Shiva Rahman, Tasmeea In modern railway traffic systems, direct current (DC) electrification is a prevalent choice, with numerous traction networks adopting a variety of voltage levels to accommodate varying load current dynamics. These dynamics are influenced by passenger density, aggregate demand for electrical power, headways, and frequency of locomotive operations. Load currents are prone to surges during periods of dense traffic and transient phases such as acceleration, deceleration, and the start–stop sequences of trains. Such surges hold the potential to precipitate fault currents within the traction system, which are similar to those engendered by external anomalies. Conventional protection systems, such as the Détection Défaut Ligne’—French for ’Line Fault Detection), may not always effectively identify remote faults or prolonged overcurrent situations. These scenarios necessitate an advancement beyond the traditional fault detection methodologies, which are primarily reliant on fixed thresholds and may not account for the dynamic nature of the railway system’s electrical load. This paper addresses the limitations inherent in the existing DDL protection mechanisms by focusing on the feeder attributes specific to the DC Traction System. In pursuit of this objective, we introduce an innovative adaptive current DDL algorithm to refine the rigid threshold paradigm inherent in the conventional approach. To facilitate a pragmatic assessment, the Rapid Rail network of Malaysia serves as a reference for emulating the railway’s electrical system. This comprehensive analysis yields insights that are potentially useful for safety protocols in DC electrified railroad traffic systems. Authors IEEE 2024 Article PeerReviewed Kumar, Vimal Rajan Bharatha and Othman, Mohammad Lutfi and Wahab, Noor Izzri Abdul and Hizam, Hashim Hashim Bin and Uddin, Mohammad Nasir and Razaei, Nima and Raj, Andrew Xavier and Gopalakrishnan, Shiva and Rahman, Tasmeea (2024) Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system. IEEE Access, 12. pp. 10995-11009. ISSN 2169-3536 https://ieeexplore.ieee.org/document/10399481 10.1109/access.2024.3353805
spellingShingle Kumar, Vimal Rajan Bharatha
Othman, Mohammad Lutfi
Wahab, Noor Izzri Abdul
Hizam, Hashim Hashim Bin
Uddin, Mohammad Nasir
Razaei, Nima
Raj, Andrew Xavier
Gopalakrishnan, Shiva
Rahman, Tasmeea
Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title_full Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title_fullStr Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title_full_unstemmed Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title_short Adaptive DDL algorithm to elucidate the protection misoperation in Malaysian Rapid Rail DC traction system
title_sort adaptive ddl algorithm to elucidate the protection misoperation in malaysian rapid rail dc traction system
url http://psasir.upm.edu.my/id/eprint/105727/
http://psasir.upm.edu.my/id/eprint/105727/
http://psasir.upm.edu.my/id/eprint/105727/