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Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder

Distribution network feeder characteristics can typically be divided into groups based on factors including length, load distribution along the feeder, peak demand, installed capacity, and load profile. By comparing the parameters to those of similar feeders with known losses, it is usually possible...

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Main Authors: Ibrahim, Khairul Anwar, Masdzarif, Nur Diana Izzani, Gan, Chin Kim, Mau, Teng Au
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2024
Online Access:http://eprints.utem.edu.my/id/eprint/28143/2/01753240920242131161164.pdf
http://eprints.utem.edu.my/id/eprint/28143/
https://beei.org/index.php/EEI/article/view/7808
https://doi.org/10.11591/eei.v13i6.7808
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spelling my.utem.eprints.281432025-01-06T11:00:08Z http://eprints.utem.edu.my/id/eprint/28143/ Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder Ibrahim, Khairul Anwar Masdzarif, Nur Diana Izzani Gan, Chin Kim Mau, Teng Au Distribution network feeder characteristics can typically be divided into groups based on factors including length, load distribution along the feeder, peak demand, installed capacity, and load profile. By comparing the parameters to those of similar feeders with known losses, it is usually possible to predict the power losses and technical losses (TL) of the respective feeders pretty accurately. However, it is exceedingly difficult and time-consuming to estimate the losses with various variables and characteristics over such a large area. This paper proposed that through base case feeder modeling and simulation utilizing typical network and load data, feeders’ peak power loss (PPL) functions can be established as a simple and effective power loss estimation method. Hence, the least time-consuming way of using a PPL regression equation based on a base case feeder is established in this paper to estimate the losses. The flexibility of PPL is proven through the case study. In the end, the results obtained between PPL and peak power demand (PPD) are demonstrated to be precisely proportional and the method is proven as a simple power loss estimation method due to the flexibility of the PPL regression equation. Institute of Advanced Engineering and Science 2024-12 Article PeerReviewed text en cc_by_sa_4 http://eprints.utem.edu.my/id/eprint/28143/2/01753240920242131161164.pdf Ibrahim, Khairul Anwar and Masdzarif, Nur Diana Izzani and Gan, Chin Kim and Mau, Teng Au (2024) Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder. Bulletin of Electrical Engineering and Informatics, 13 (6). pp. 3880-3887. ISSN 2302-9285 https://beei.org/index.php/EEI/article/view/7808 https://doi.org/10.11591/eei.v13i6.7808
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
description Distribution network feeder characteristics can typically be divided into groups based on factors including length, load distribution along the feeder, peak demand, installed capacity, and load profile. By comparing the parameters to those of similar feeders with known losses, it is usually possible to predict the power losses and technical losses (TL) of the respective feeders pretty accurately. However, it is exceedingly difficult and time-consuming to estimate the losses with various variables and characteristics over such a large area. This paper proposed that through base case feeder modeling and simulation utilizing typical network and load data, feeders’ peak power loss (PPL) functions can be established as a simple and effective power loss estimation method. Hence, the least time-consuming way of using a PPL regression equation based on a base case feeder is established in this paper to estimate the losses. The flexibility of PPL is proven through the case study. In the end, the results obtained between PPL and peak power demand (PPD) are demonstrated to be precisely proportional and the method is proven as a simple power loss estimation method due to the flexibility of the PPL regression equation.
format Article
author Ibrahim, Khairul Anwar
Masdzarif, Nur Diana Izzani
Gan, Chin Kim
Mau, Teng Au
spellingShingle Ibrahim, Khairul Anwar
Masdzarif, Nur Diana Izzani
Gan, Chin Kim
Mau, Teng Au
Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
author_facet Ibrahim, Khairul Anwar
Masdzarif, Nur Diana Izzani
Gan, Chin Kim
Mau, Teng Au
author_sort Ibrahim, Khairul Anwar
title Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
title_short Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
title_full Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
title_fullStr Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
title_full_unstemmed Power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kV base case feeder
title_sort power loss estimation utilizing the flexibility of peak power loss regression equations based on 11 kv base case feeder
publisher Institute of Advanced Engineering and Science
publishDate 2024
url http://eprints.utem.edu.my/id/eprint/28143/2/01753240920242131161164.pdf
http://eprints.utem.edu.my/id/eprint/28143/
https://beei.org/index.php/EEI/article/view/7808
https://doi.org/10.11591/eei.v13i6.7808
_version_ 1821007584702758912
score 13.226497

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