An efficient method for estimating energy losses in distribution's feeder

Ibrahim, Khairul Anwar and Masdzarif, Nur Diana Izzani and Gan, Chin Kim and Mau, Teng Au and Baharin, Kyairul Azmi and Emran, Nurul Akmar and Zainal Abidin, Zaheera (2023) An efficient method for estimating energy losses in distribution's feeder. Bulletin of Electrical Engineering and Informatics, 12 (4). pp. 1919-1928. ISSN 2089-3191

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Abstract

This paper explains a simple and efficient methodology for calculating monthly energy losses (EL) using the load loss factor technique and a representative composite load profile. One of the important benefits of the proposed work is a simpler, more efficient and less rigorous method to estimate the system-wide energy loss of an extensive distribution network with reasonable accuracy. The sum of all EL provided by each feeder section is used to calculate the total feeder EL. A base case feeder with a typical cable type and power factor is used to generate regression equations, a peak power loss function to estimate the EL. A case study is then used to show the models and techniques that have been established. The result indicates a high level of agreement with the time-series load flow simulations (smaller than 10% deviations). With this model, an approach to estimate the EL of all radial feeders of various configurations and characteristics could be extended and implemented. The spreadsheet approach is ideal for completing a quick energy audit of existing distribution feeder EL and determining the sensitivity of distribution network efficiency to changes in feeder sections and load characteristics.

Item Type:	Article
Uncontrolled Keywords:	Energy losses estimation, Load factor, Loss factor, Power distribution system, Representative composite load profile
Divisions:	Faculty Of Electrical Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	04 Jul 2024 11:47
Last Modified:	04 Jul 2024 11:47
URI:	http://eprints.utem.edu.my/id/eprint/27559
Statistic Details:	View Download Statistic

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