Onawola, H.J. and Longe, O.B. and Adebayo, S. and Olasina, J.R (2019) Acceptability of Smart Grid Technologies for Sustainable Energy Distribution in Developing Nations. In: 19th iSTEAMS Multidisciplinary Conference, 7th – 9th August 2019, The Federal Polytechnic, Offa, Kwara State, Nigeria.
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Abstract
Many developing Nations have been indisposed to key into the technology of smart grid system due to some of the flaws associated with the technology, interestingly the potentials in smart grid technologies cannot be overemphasized, in that its operation is automated and requires minimal human intervention. More so its mode of communications is done bi-directionally, and eco-system friendly with self-healing system. The Smart grid is the process of integration of information communication technologies with the existing power system infrastructure to enhance good service delivery[1].The technology is different from the traditional grid and it requires new ways of thinking and good planning strategies. This paper foot on acceptability of smart grid technology for sustainable energy distribution in developing nation, and the authors therefore modifies a conceptual frame work plans on its adoption by major stake holders in the distribution chain of the sector. The authors also viewed that a smart grid intelligent technology be adopted by developing Nation for electricity distribution system; so that it will curtail the problem of electricity distribution by the Distribution Company with enhanced system of energy sustainability and its distribution to all stakeholders and gives confidence to all investors concerned. However, the process must be carefully planned and well understood by all stakeholders (government, regulatory body, policy makers, operators, utility users and other concern stake holders) in order to achieving a sustainable electricity distribution.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Smart Grid, Flaws, Bi-directional, Eco-System, Self-healing, Acceptability |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Joy Oluwabukola Olayiwola |
| Date Deposited: | 15 Jun 2021 10:40 |
| Last Modified: | 15 Jun 2021 10:40 |
| URI: | http://eprints.federalpolyilaro.edu.ng/id/eprint/1675 |
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