Energy regulator supply restoration time

In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers...

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Main Authors:	Mohd Ikhwan, Muhammad Ridzuan, Djokić, Saša Ž
Format:	Article
Language:	English
Published:	MDPI AG 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf

id	ump-24834
recordtype	eprints
spelling	ump-248342019-07-04T01:43:09Z http://umpir.ump.edu.my/id/eprint/24834/ Energy regulator supply restoration time Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž TK Electrical engineering. Electronics Nuclear engineering In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers from long excessive duration of interruptions, the use of MTTR input seems reasonable. Since modern distribution networks are shifting towards smart grid, some factors must be considered in the reliability assessment process. For networks that apply reconfiguration functionalities and/or network automation, the duration of interruptions experienced by a customer due to faulty network components should be addressed with an automation switch or manual action time that does not exceed the regulator supply restoration time. Hence, this paper introduces a comprehensive methodology of substituting MTTR with maximum action time required to replace/repair a network component and to restore customer duration of interruption with maximum network reconfiguration time based on energy regulator supply requirements. The Monte Carlo simulation (MCS) technique was applied to medium voltage (MV) suburban networks to estimate system-related reliability indices. In this analysis, the purposed method substitutes all MTTR values with time to supply (TTS), which correspond with the UK Guaranteed Standard of Performance (GSP-UK), by the condition of the MTTR value being higher than TTS value. It is nearly impossible for all components to have a quick repairing time, only components on the main feeder were selected for time substitution. Various scenarios were analysed, and the outcomes reflected the applicability of reconfiguration and the replace/repair time of network component. Theoretically, the network reconfiguration (option 1) and component replacement (option 2) with the same amount of repair time should produce exactly the same outputs. However, in simulation, these two options yield different outputs in terms of number and duration of interruptions. Each scenario has its advantages and disadvantages, in which the distribution network operators (DNOs) were selected based on their operating conditions and requirements. The regulator reliability-based network operation is more applicable than power loss-based network operation in counties that employed energy regulator requirements (e.g., GSP-UK) or areas with many factories that required a reliable continuous supply. MDPI AG 2019-03-19 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf Mohd Ikhwan, Muhammad Ridzuan and Djokić, Saša Ž (2019) Energy regulator supply restoration time. Energies, 12 (6). pp. 1-16. ISSN 1996-1073 https://doi.org/10.3390/en12061051 https://doi.org/10.3390/en12061051
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž Energy regulator supply restoration time
description	In conventional reliability analysis, the duration of interruptions relied on the input parameter of mean time to repair (MTTR) values in the network components. For certain criteria without network automation, reconfiguration functionalities and/or energy regulator requirements to protect customers from long excessive duration of interruptions, the use of MTTR input seems reasonable. Since modern distribution networks are shifting towards smart grid, some factors must be considered in the reliability assessment process. For networks that apply reconfiguration functionalities and/or network automation, the duration of interruptions experienced by a customer due to faulty network components should be addressed with an automation switch or manual action time that does not exceed the regulator supply restoration time. Hence, this paper introduces a comprehensive methodology of substituting MTTR with maximum action time required to replace/repair a network component and to restore customer duration of interruption with maximum network reconfiguration time based on energy regulator supply requirements. The Monte Carlo simulation (MCS) technique was applied to medium voltage (MV) suburban networks to estimate system-related reliability indices. In this analysis, the purposed method substitutes all MTTR values with time to supply (TTS), which correspond with the UK Guaranteed Standard of Performance (GSP-UK), by the condition of the MTTR value being higher than TTS value. It is nearly impossible for all components to have a quick repairing time, only components on the main feeder were selected for time substitution. Various scenarios were analysed, and the outcomes reflected the applicability of reconfiguration and the replace/repair time of network component. Theoretically, the network reconfiguration (option 1) and component replacement (option 2) with the same amount of repair time should produce exactly the same outputs. However, in simulation, these two options yield different outputs in terms of number and duration of interruptions. Each scenario has its advantages and disadvantages, in which the distribution network operators (DNOs) were selected based on their operating conditions and requirements. The regulator reliability-based network operation is more applicable than power loss-based network operation in counties that employed energy regulator requirements (e.g., GSP-UK) or areas with many factories that required a reliable continuous supply.
format	Article
author	Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž
author_facet	Mohd Ikhwan, Muhammad Ridzuan Djokić, Saša Ž
author_sort	Mohd Ikhwan, Muhammad Ridzuan
title	Energy regulator supply restoration time
title_short	Energy regulator supply restoration time
title_full	Energy regulator supply restoration time
title_fullStr	Energy regulator supply restoration time
title_full_unstemmed	Energy regulator supply restoration time
title_sort	energy regulator supply restoration time
publisher	MDPI AG
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/ http://umpir.ump.edu.my/id/eprint/24834/1/Energy%20regulator%20supply%20restoration%20time.pdf
first_indexed	2023-09-18T22:37:49Z
last_indexed	2023-09-18T22:37:49Z
_version_	1777416714264248320

Energy regulator supply restoration time

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