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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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 |
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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 |
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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 |
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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. |
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24447656300 |
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24447656300 Hashim A.H. Mohamad A.M. Abidin I.Z. Baharuddin M.Z. Yeoh E.C. |
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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 |
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IEEE Computer Society |
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2023 |
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1806428103215415296 |
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13.235796 |