Determination of auto-recloser location using cost analysis in the sabah electricity distribution network

Sabah Electricity (SESB) operates a vertically integrated electricity utility in East Malaysia. It is currently embarking on an initiative to improve the reliability of its 11kV distribution network which is prone to trippings due to vegetation growth along their long spur lines. Apart from rentice...

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Main Authors: Hashim A.H., Mohamad A.M., Abidin I.Z., Baharuddin M.Z., Yeoh E.C.
Other Authors: 24447656300
Format: Conference paper
Published: IEEE Computer Society 2023
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spelling my.uniten.dspace-298462023-12-28T16:57:55Z Determination of auto-recloser location using cost analysis in the sabah electricity distribution network Hashim A.H. Mohamad A.M. Abidin I.Z. Baharuddin M.Z. Yeoh E.C. 24447656300 24448210200 35606640500 35329255600 57213783399 Auto-recloser Best placement option Cost analysis Cost accounting Electric utilities Location Losses Best placement option Cost analysis Electricity distribution networks Network topology Objective functions Re closers Value of lost load Vegetation growth Cost benefit analysis Sabah Electricity (SESB) operates a vertically integrated electricity utility in East Malaysia. It is currently embarking on an initiative to improve the reliability of its 11kV distribution network which is prone to trippings due to vegetation growth along their long spur lines. Apart from rentice management, another proposed solution is to install auto-reclosers (AR) at appropriate locations in their network. This work deals in developing a methodology to determine the most economic location of ARs and their numbers to be installed. In order to do that, data in the form of customer types, load levels and network topology were collected from site visits at SESB. The study then used an estimated Value of Lost Load (VoLL) to quantify the financial losses that customers suffer given a loss of supply. These losses would then be summed with the cost of ARs for a particular AR placement scenario to form an objective function. The best placement and numbers of AR can be decided by determining the least cost option from the said objective function. � 2006 IEEE. Final 2023-12-28T08:57:55Z 2023-12-28T08:57:55Z 2006 Conference paper 10.1109/PECON.2006.346719 2-s2.0-46249097341 https://www.scopus.com/inward/record.uri?eid=2-s2.0-46249097341&doi=10.1109%2fPECON.2006.346719&partnerID=40&md5=c4b0ef9ae131ad09c1d9c39633b4c00c https://irepository.uniten.edu.my/handle/123456789/29846 4154563 587 590 IEEE Computer Society 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 Auto-recloser
Best placement option
Cost analysis
Cost accounting
Electric utilities
Location
Losses
Best placement option
Cost analysis
Electricity distribution networks
Network topology
Objective functions
Re closers
Value of lost load
Vegetation growth
Cost benefit analysis
spellingShingle Auto-recloser
Best placement option
Cost analysis
Cost accounting
Electric utilities
Location
Losses
Best placement option
Cost analysis
Electricity distribution networks
Network topology
Objective functions
Re closers
Value of lost load
Vegetation growth
Cost benefit analysis
Hashim A.H.
Mohamad A.M.
Abidin I.Z.
Baharuddin M.Z.
Yeoh E.C.
Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
description Sabah Electricity (SESB) operates a vertically integrated electricity utility in East Malaysia. It is currently embarking on an initiative to improve the reliability of its 11kV distribution network which is prone to trippings due to vegetation growth along their long spur lines. Apart from rentice management, another proposed solution is to install auto-reclosers (AR) at appropriate locations in their network. This work deals in developing a methodology to determine the most economic location of ARs and their numbers to be installed. In order to do that, data in the form of customer types, load levels and network topology were collected from site visits at SESB. The study then used an estimated Value of Lost Load (VoLL) to quantify the financial losses that customers suffer given a loss of supply. These losses would then be summed with the cost of ARs for a particular AR placement scenario to form an objective function. The best placement and numbers of AR can be decided by determining the least cost option from the said objective function. � 2006 IEEE.
author2 24447656300
author_facet 24447656300
Hashim A.H.
Mohamad A.M.
Abidin I.Z.
Baharuddin M.Z.
Yeoh E.C.
format Conference paper
author Hashim A.H.
Mohamad A.M.
Abidin I.Z.
Baharuddin M.Z.
Yeoh E.C.
author_sort Hashim A.H.
title Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
title_short Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
title_full Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
title_fullStr Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
title_full_unstemmed Determination of auto-recloser location using cost analysis in the sabah electricity distribution network
title_sort determination of auto-recloser location using cost analysis in the sabah electricity distribution network
publisher IEEE Computer Society
publishDate 2023
_version_ 1806428103215415296
score 13.188404