Conference Paper/Proceeding/Abstract 166 views
Load Flow Analysis of the Nigerian Transmission Grid Using DIgSILENT PowerFactory
2021 56th International Universities Power Engineering Conference (UPEC)
Swansea University Authors:
Omowumi Olasunkanmi, Zhida Deng, Grazia Todeschini
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DOI (Published version): 10.1109/upec50034.2021.9548253
Abstract
The subject of this work is the development of a load flow model for the Nigerian 330 kV transmission system. The model has been developed in DIgSILENT PowerFactory based on data provided by the Nigerian Electricity system operator (NESO). Two scenarios (summer and winter) were considered: for each...
| Published in: | 2021 56th International Universities Power Engineering Conference (UPEC) |
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| ISBN: | 978-1-6654-4390-6 978-1-6654-4389-0 |
| Published: |
IEEE
2021
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67062 |
| Abstract: |
The subject of this work is the development of a load flow model for the Nigerian 330 kV transmission system. The model has been developed in DIgSILENT PowerFactory based on data provided by the Nigerian Electricity system operator (NESO). Two scenarios (summer and winter) were considered: for each scenario, load data, generator data, and transmission line parameters were used as inputs to the model. The voltage profiles resulting from the load flow were compared with the original data, and some discrepancies were found. Assumptions and modifications were made to achieve load flow results that were closer to the system data. The results show that in summer and winter, power generated was 4804.10 MW and 4394.41 MW, respectively. The bus voltages were within the voltage magnitude of 0.85 pu and 1.05 pu, according to the local grid code. The model documented in this paper will be used as a baseline for reliability and stability studies. This research aims to identify potential reinforcements to the 330 kV Nigerian transmission system to meet future electricity demand. |
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| College: |
Faculty of Science and Engineering |
| Funders: |
This research was supported by the Tertiary Education
Trust Fund (TETFUND) under the Academic Staff
Training & Development (AST& D) program of the
Federal Republic of Nigeria. TETFUND’s support to
produce this publication does not constitute an
endorsement of the contents which reflect the views only
of the authors, and the Commission cannot be held
responsible for any use which may be made of the
information contained therein. The authors also
acknowledge the National Control Centre, Osogbo, Nigeria
for making the data available for this research work and
Olabisi Onabanjo University for supporting the research
work. |