Issue |
E3S Web Conf.
Volume 120, 2019
2019 2nd International Conference on Green Energy and Environment Engineering (CGEEE 2019)
|
|
---|---|---|
Article Number | 02005 | |
Number of page(s) | 8 | |
Section | Renewable Energy | |
DOI | https://doi.org/10.1051/e3sconf/201912002005 | |
Published online | 27 September 2019 |
Gas-to-electricity investment planning for power system stability improvement and environmental sustainability in Nigeria
1 Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa, 903-0213, Japan
2 Institute for Sustainable Development, First Technical University, Ibadan, Oyo, 200253, Nigeria
3 Faculty of Engineering, Adeleke University, Ede, Osun, 232101, Nigeria
* Corresponding author: adewuyiobode@gmail.com
Power outage is a prominent feature of the current Nigerian power system. However, a properly planned energy sector can help the nations quest for energy sustainability and economic development. Techno-economic assessment of the Nigerian energy facilities for efficient gas-to-grid power integration is presented in this paper using the particle swarm optimization algorithm (PSO) for solving a voltage stability-constrained optimal power flow model on Matlab environment. Investment in gas-fired DG technology can be an economic and sustainable approach for reducing the detrimental effeccts of gas-flaring practices of the petroleum industries on the environment. The technical benefits such as voltage profile improvement and voltage stability enhancement are the main focus of the technical analysis carried out in this study.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.