Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction

This paper presents a survey of recent development in Fault Localisation and Service Restoration (FLSR) following electrical disturbance in Power Distribution Systems (PDS) based on distributed approaches. Distributed approaches have been found to fit well in the distribution systems as they have mo...

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Autores principales:	Rukia J. Mwifunyi, Mussa M. Kissaka, Nerey H. Mvungi
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2019
Materias:	fault localisation service restoration self-healing multi-agent distributed control load forecasting Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/f5d1f6912bc644fe943c920a2eb2b44f
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spelling	oai:doaj.org-article:f5d1f6912bc644fe943c920a2eb2b44f2021-11-04T15:51:56ZDistributed approach in fault localisation and service restoration: State-of-the-Art and future direction2331-191610.1080/23311916.2019.1628424https://doaj.org/article/f5d1f6912bc644fe943c920a2eb2b44f2019-01-01T00:00:00Zhttp://dx.doi.org/10.1080/23311916.2019.1628424https://doaj.org/toc/2331-1916This paper presents a survey of recent development in Fault Localisation and Service Restoration (FLSR) following electrical disturbance in Power Distribution Systems (PDS) based on distributed approaches. Distributed approaches have been found to fit well in the distribution systems as they have more than one decision-making component, and data processing can be done in parallel in individual units that makes it faster and requires less processing capabilities centrally. Recently reported distributed approaches have been studied and analysed. With ever-growing integration of the renewable distributed generation (DG) into the distribution systems, it has been realised that, the uncertainty nature of both load demand and DG need to be considered in the service restoration problems for improved efficiency. Consideration of uncertainty nature of the renewable generation and load demands in the distributed FLSR result into the increased restored customers as well as avoiding overloading and underloading after restoration. The paper starts with a general overview of the Multi Agent Systems (MAS) as the distributed control approach and approaches for forecasting load demand and DG power and then discusses different approaches used for FLSR in PDS by showing their strengths and limitations. The review is concluded by giving future research directions.Rukia J. MwifunyiMussa M. KissakaNerey H. MvungiTaylor & Francis Grouparticlefault localisationservice restorationself-healingmulti-agentdistributed controlload forecastingEngineering (General). Civil engineering (General)TA1-2040ENCogent Engineering, Vol 6, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	fault localisation service restoration self-healing multi-agent distributed control load forecasting Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	fault localisation service restoration self-healing multi-agent distributed control load forecasting Engineering (General). Civil engineering (General) TA1-2040 Rukia J. Mwifunyi Mussa M. Kissaka Nerey H. Mvungi Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
description	This paper presents a survey of recent development in Fault Localisation and Service Restoration (FLSR) following electrical disturbance in Power Distribution Systems (PDS) based on distributed approaches. Distributed approaches have been found to fit well in the distribution systems as they have more than one decision-making component, and data processing can be done in parallel in individual units that makes it faster and requires less processing capabilities centrally. Recently reported distributed approaches have been studied and analysed. With ever-growing integration of the renewable distributed generation (DG) into the distribution systems, it has been realised that, the uncertainty nature of both load demand and DG need to be considered in the service restoration problems for improved efficiency. Consideration of uncertainty nature of the renewable generation and load demands in the distributed FLSR result into the increased restored customers as well as avoiding overloading and underloading after restoration. The paper starts with a general overview of the Multi Agent Systems (MAS) as the distributed control approach and approaches for forecasting load demand and DG power and then discusses different approaches used for FLSR in PDS by showing their strengths and limitations. The review is concluded by giving future research directions.
format	article
author	Rukia J. Mwifunyi Mussa M. Kissaka Nerey H. Mvungi
author_facet	Rukia J. Mwifunyi Mussa M. Kissaka Nerey H. Mvungi
author_sort	Rukia J. Mwifunyi
title	Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
title_short	Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
title_full	Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
title_fullStr	Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
title_full_unstemmed	Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction
title_sort	distributed approach in fault localisation and service restoration: state-of-the-art and future direction
publisher	Taylor & Francis Group
publishDate	2019
url	https://doaj.org/article/f5d1f6912bc644fe943c920a2eb2b44f
work_keys_str_mv	AT rukiajmwifunyi distributedapproachinfaultlocalisationandservicerestorationstateoftheartandfuturedirection AT mussamkissaka distributedapproachinfaultlocalisationandservicerestorationstateoftheartandfuturedirection AT nereyhmvungi distributedapproachinfaultlocalisationandservicerestorationstateoftheartandfuturedirection
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Distributed approach in fault localisation and service restoration: State-of-the-Art and future direction

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