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

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Energy loss, Peak power demand, Peak power loss, Power distribution, Power loss estimation
Divisions:	Faculty Of Electrical Technology And Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	06 Jan 2025 11:00
Last Modified:	06 Jan 2025 11:00
URI:	http://eprints.utem.edu.my/id/eprint/28143
Statistic Details:	View Download Statistic

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