A methodology for technical losses estimation of radial distribution feeder

Ibrahim, Khairul Anwar and Gan, Chin Kim and Mau, Teng Au (2019) A methodology for technical losses estimation of radial distribution feeder. Indonesian Journal Of Electrical Engineering And Computer Science, 16 (3). pp. 1126-1135. ISSN 2502-4752

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Abstract

Power distribution feeders is one of the key contributors of technical losses (TL) as it is typically large in numbers and scattered over large geographic areas. Traditional approach using classical formulation or time series load flow simulations to determine TL in each and every feeder and feeder sections in all distribution network require is an expensive exercise as it requires extensive modelling of the feeders and voluminous data. This paper presents a simple analytical approach to estimate monthly TL of a radial distribution feeder using analytical approach. TL for each feeder sections are evaluated on a monthly basis based on estimation of the load profile of the load points, peak power loss characteristics and loss factor. Total feeder TL are then estimated as the sum of all TL contributed by each feeder section. The developed models and procedure have been demonstrated through case studies performed on three (3) typical and representative feeders characterized by the different area served, number of feeder sections, load distribution and feeder length. The results shows close agreement (less than 5% differences) when compared with time series load flow simulations. With this model, the approach could be extended and applied to estimate TL of any radial distribution feeders of different configurations and characteristics

Item Type:	Article
Uncontrolled Keywords:	Energy Efficiency, Power Distribution Network, Technical Losses
Divisions:	Faculty of Electrical Engineering > Department of Industrial Power
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	13 May 2022 16:49
Last Modified:	13 May 2022 16:49
URI:	http://eprints.utem.edu.my/id/eprint/24392
Statistic Details:	View Download Statistic

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