eprintid: 15166
rev_number: 9
eprint_status: archive
userid: 3393
dir: disk0/00/01/51/66
datestamp: 2021-06-30 13:23:49
lastmod: 2021-06-30 13:23:49
status_changed: 2021-06-30 13:23:49
type: article
metadata_visibility: show
creators_name: Somefun, Tobilola Emmanuel
creators_name: Babayomi, Oluleke O.
creators_name: Awosope, C. O. A.
creators_name: Abdulkareem, Ademola
creators_name: somefun, C.T.
title: Software For Improved Online Teaching Of Power System Analysis For Undergraduates
ispublished: pub
subjects: T1
subjects: TK
divisions: sch_ecs
full_text_status: public
keywords: Distribution network, Carson’s equation, WindMil application, Power systems, COVID-19
abstract: In electric power system study, balanced system
is often assumed. This is not usually so in a practical system,
most especially in a distribution network in which consumers’
loads and or loading patterns vary. Hence, a single-phase cannot
be sufficient to analyse a distribution network of three-phase
lines and one neutral. In this study, Carson’s equation, which is
a suitable approach for modelling the series impedance and
shunt admittance of overhead line, is deployed to analyse a
three-phase distribution network for which a computer-based
WindMil application is used to verify. WindMil application is
proposed in this study for distribution network analysis because
of its robustness to handle several problems associated with it
such as unbalanced system, voltage regulation, etc. Moreover,
WindMil application is also user friendly and it is suitable for
online teaching and learning of power system analysis with
respect to novel coronavirus pandemic problem.
date: 2020
date_type: published
publication: PES/IAS PowerAfrica
refereed: TRUE
citation:   Somefun, Tobilola Emmanuel and Babayomi, Oluleke O. and Awosope, C. O. A. and Abdulkareem, Ademola and somefun, C.T.  (2020) Software For Improved Online Teaching Of Power System Analysis For Undergraduates.  PES/IAS PowerAfrica.       
document_url: http://eprints.covenantuniversity.edu.ng/15166/1/Published%20Monte%20Carlo%20%20Simulation.pdf