System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model

This paper presents an integrated analytical approach to estimate technical losses (TL) of medium voltage (MV) distribution network. The concept of energy flow in a radial MV distribution network is modelled using representative feeders (RF) characterized by feeder peak power demand, feeder length...

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Main Authors: Ibrahim, Khairul Anwar, Au, Mau Teng, Gan, Chin Kim, Tang, Jun Huat
Format: Article
Language:English
Published: Elsevier Ltd. 2017
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Online Access:http://eprints.utem.edu.my/id/eprint/20820/2/2017%20EPES%20Elsevier%20-%20KA%20%281%29%20%282%29.pdf
http://eprints.utem.edu.my/id/eprint/20820/
https://www.sciencedirect.com/science/article/pii/S0142061516321779
https://doi.org/10.1016/j.ijepes.2017.06.011
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Institution: Universiti Teknikal Malaysia Melaka
Language: English
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spelling my.utem.eprints.208202021-07-08T21:03:12Z http://eprints.utem.edu.my/id/eprint/20820/ System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model Ibrahim, Khairul Anwar Au, Mau Teng Gan, Chin Kim Tang, Jun Huat T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents an integrated analytical approach to estimate technical losses (TL) of medium voltage (MV) distribution network. The concept of energy flow in a radial MV distribution network is modelled using representative feeders (RF) characterized by feeder peak power demand, feeder length, load distribution, and load factor to develop the generic analytical TL equations. The TL estimation approach is applied to typical utility MV distribution network equipped with energy meters at transmission/distribution interface substation (TDIS) which register monthly inflow energy and peak power demand to the distribution networks. Additional input parameters for the TL estimation are from the feeder ammeters of the outgoing primary and secondary MV feeders. The developed models have been demonstrated through case study performed on a utility MV distribution network supplied from grid source through a TDIS with a registered total maximum demand of 44.9 MW, connected to four (4) 33 kV feeders, four (4) 33/11 kV 30 MVA transformers, and twelve (12) 11 kV feeders. The result shows close agreement with TL provided by the local power utility company. With RF, the approach could be extended and applied to estimate TL of any radial MV distribution network of different sizes and demography. Elsevier Ltd. 2017-06 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20820/2/2017%20EPES%20Elsevier%20-%20KA%20%281%29%20%282%29.pdf Ibrahim, Khairul Anwar and Au, Mau Teng and Gan, Chin Kim and Tang, Jun Huat (2017) System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model. International Journal Of Electrical Power And Energy Systems, 93. pp. 440-450. ISSN 0142-0615 https://www.sciencedirect.com/science/article/pii/S0142061516321779 https://doi.org/10.1016/j.ijepes.2017.06.011
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Ibrahim, Khairul Anwar
Au, Mau Teng
Gan, Chin Kim
Tang, Jun Huat
System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
description This paper presents an integrated analytical approach to estimate technical losses (TL) of medium voltage (MV) distribution network. The concept of energy flow in a radial MV distribution network is modelled using representative feeders (RF) characterized by feeder peak power demand, feeder length, load distribution, and load factor to develop the generic analytical TL equations. The TL estimation approach is applied to typical utility MV distribution network equipped with energy meters at transmission/distribution interface substation (TDIS) which register monthly inflow energy and peak power demand to the distribution networks. Additional input parameters for the TL estimation are from the feeder ammeters of the outgoing primary and secondary MV feeders. The developed models have been demonstrated through case study performed on a utility MV distribution network supplied from grid source through a TDIS with a registered total maximum demand of 44.9 MW, connected to four (4) 33 kV feeders, four (4) 33/11 kV 30 MVA transformers, and twelve (12) 11 kV feeders. The result shows close agreement with TL provided by the local power utility company. With RF, the approach could be extended and applied to estimate TL of any radial MV distribution network of different sizes and demography.
format Article
author Ibrahim, Khairul Anwar
Au, Mau Teng
Gan, Chin Kim
Tang, Jun Huat
author_facet Ibrahim, Khairul Anwar
Au, Mau Teng
Gan, Chin Kim
Tang, Jun Huat
author_sort Ibrahim, Khairul Anwar
title System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
title_short System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
title_full System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
title_fullStr System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
title_full_unstemmed System Wide MV Distribution Network Technical Losses Estimation Based On Reference Feeder And Energy Flow Model
title_sort system wide mv distribution network technical losses estimation based on reference feeder and energy flow model
publisher Elsevier Ltd.
publishDate 2017
url http://eprints.utem.edu.my/id/eprint/20820/2/2017%20EPES%20Elsevier%20-%20KA%20%281%29%20%282%29.pdf
http://eprints.utem.edu.my/id/eprint/20820/
https://www.sciencedirect.com/science/article/pii/S0142061516321779
https://doi.org/10.1016/j.ijepes.2017.06.011
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