Analysis and Optimization of Automated Power Distribution Within Nigeria

Godswill Ofualagba; O’tega Ejofodomi

doi:doi:10.11648/j.ajme.20190505.11

| Peer-Reviewed

Analysis and Optimization of Automated Power Distribution Within Nigeria

Godswill Ofualagba, O’tega Ejofodomi

Published in American Journal of Modern Energy (Volume 5, Issue 5)

Received: 3 October 2019 Accepted: 21 October 2019 Published: 6 January 2020

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

Nigeria currently generates approximately 81,122 MWH (or 3,380 MWH/H) of electricity for national consumption, which is far less than the daily electricity demand of the country, leading to a need for allotted power distribution within the country. A power optimization software owned and patented by RACETT NIGERIA LTD. was used to perform automated distribution of electricity from the National Grid for October 1, 2019. The software automatically calculated and deducted the power transmission loss in transporting the electricity from the generating stations to the distribution companies by the Transmission Company of Nigeria (TCN). The total power available for distribution was automatically shared to 11 distribution companies based on the established electricity grid percentage allocation. After deducting the distribution losses for each distribution companies, the remaining electricity was distributed among constituent states, and the hours of electricity supplied to each state selected, with priority given to the peak demand period of 8:00 p.m. -11: 00 p.m. The distribution results show that Nigeria is currently able to provide 4 hours of electricity across the nation from 8:00 p.m. - 12:00 a.m. Eight (8) states received electricity for only 4 hours of the day, while some states like Lagos State received as much as 24 hours. The percentage grid allocation to the distribution companies needs to be revised to improve even distribution of electricity across the nation, and transmission and distribution losses need to be drastically reduced. Further analysis revealed that Nigeria presently needs to generate 240,000 MWH (or 19, 583 MWH/H) of electricity in order to provide 24 hours of electricity to every state across the nation. Future work includes power generation analysis to investigate the effect of new generating stations on each electricity distribution region in Nigeria.

Published in	American Journal of Modern Energy (Volume 5, Issue 5)
DOI	10.11648/j.ajme.20190505.11
Page(s)	74-83
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Power Distribution, Electricity Supply, Nigeria, Electric Power

References

[1]	https://www.nsong.org.
[2]	NESISTATS (2018). Nigeria Power Baseline Report, 2018. http://mypower.ng/downloads/baseline-report/ Accessed October 1, 2019.
[3]	Abubakar Sambo, Ismalla Hallru Zarma, Babayo Garba, Mohammed Musa Gaji. Electricity Generation and the Present Challenges in the Nigerian Power Sector, J. Energy Power Eng., Vol. 6, pp. 1-17, 2010.
[4]	Ebele S. Nwokoye, Stephen K. Dimnwobi, Chukwunonso S. Ekesiobi, Casmir C. Obegolu. Power Infrastructure and Electricity in Nigeria: Policy Considerations for Economic Welfare, KIU Journal of Humanities 2415-0843; 2 (1): 5–17, 2017.
[5]	Olatunji Obafemi, Akinlabi Stephen, Oluseyi Ajayi, Abioye Abiodun, Ishola Felix, Peter Mashinini and Madushele Nkosinathi. Electric Power Crisis in Nigeria: A Strategic Call for Change of Focus to Renewable Sources, IOP Conf. Series: Materials Science and Engineering, 413 012053, pp. 1-17, 2018. doi: 10.1088/1757-899X/413/1/012053.
[6]	National Bureau of Statistics (2018). Demographics Statistics Bulletin, 2017.
[7]	www.racett.com.ng.
[8]	www.nerc.gov.ng.
[9]	Transmission Expansion Plan Development of Power System Master Plan for the Transmission Company of Nigeria Final Report, 2017. www.tcnpmu.ng, Accessed October 1, 2019.
[10]	Ganiyu Adedayo Ajenikoko, Adebayo Wasiu Eboda, Oluwatomi Adigun, Ahmed Olayinka, Sulaimon Oladimeji, Lukman Adelowo. Analysis of Power Sector Performance: Nigeria As a Case Study. Mathematical Theory and Modeling, Vol. 8, No. 8, 2018.
[11]	A. C. Ohajianya, O. E. Abumere, I. O. Owate, E. Osarolube. Erratic Power Supply in Nigeria: Causes and Solutions. International Journal of Engineering Science Invention, Vol. 3, Issue 7, pp. 51-55, 2014.
[12]	V. K. Abanihi, S. O. Ikheloa, F. Okodede. Overview Of the Nigerian Power Sector. American Journal of Engineering Research, Vol. 7, Issue 5, pp. 253-263, 2018.
[13]	Adebayo O. Adedeji. Privatisation and Performance of Electricity Distribution Companies in Nigeria, Journal of Public Administration and Governance, Vol. 7, No. 3, pp. 190-203, 2017.
[14]	Onochie U. P., Egware H. O., and Eyakwanor T. O. The Nigeria Electric Power Sector (Opportunities and Challenges) Journal of Multidisciplinary Engineering Science and Technology, Vol. 2, Issue 4, pp. 494-502, 2015.
[15]	Kayode Olaniyan, Benjamin C. McLellan ID, Seiichi Ogata and Tetsuo Tezuka. Estimating Residential Electricity Consumption in Nigeria to Support Energy Transitions. Sustainability, 10, 1440, pp. 1-22, 2018. doi: 10.3390/su10051440.

Cite This Article

Plain Text BibTeX RIS

APA Style

Godswill Ofualagba, O’tega Ejofodomi. (2020). Analysis and Optimization of Automated Power Distribution Within Nigeria. American Journal of Modern Energy, 5(5), 74-83. https://doi.org/10.11648/j.ajme.20190505.11

Copy | Download

ACS Style

Godswill Ofualagba; O’tega Ejofodomi. Analysis and Optimization of Automated Power Distribution Within Nigeria. Am. J. Mod. Energy 2020, 5(5), 74-83. doi: 10.11648/j.ajme.20190505.11

Copy | Download

AMA Style

Godswill Ofualagba, O’tega Ejofodomi. Analysis and Optimization of Automated Power Distribution Within Nigeria. Am J Mod Energy. 2020;5(5):74-83. doi: 10.11648/j.ajme.20190505.11

Copy | Download

@article{10.11648/j.ajme.20190505.11,
  author = {Godswill Ofualagba and O’tega Ejofodomi},
  title = {Analysis and Optimization of Automated Power Distribution Within Nigeria},
  journal = {American Journal of Modern Energy},
  volume = {5},
  number = {5},
  pages = {74-83},
  doi = {10.11648/j.ajme.20190505.11},
  url = {https://doi.org/10.11648/j.ajme.20190505.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajme.20190505.11},
  abstract = {Nigeria currently generates approximately 81,122 MWH (or 3,380 MWH/H) of electricity for national consumption, which is far less than the daily electricity demand of the country, leading to a need for allotted power distribution within the country. A power optimization software owned and patented by RACETT NIGERIA LTD. was used to perform automated distribution of electricity from the National Grid for October 1, 2019. The software automatically calculated and deducted the power transmission loss in transporting the electricity from the generating stations to the distribution companies by the Transmission Company of Nigeria (TCN). The total power available for distribution was automatically shared to 11 distribution companies based on the established electricity grid percentage allocation. After deducting the distribution losses for each distribution companies, the remaining electricity was distributed among constituent states, and the hours of electricity supplied to each state selected, with priority given to the peak demand period of 8:00 p.m. -11: 00 p.m. The distribution results show that Nigeria is currently able to provide 4 hours of electricity across the nation from 8:00 p.m. - 12:00 a.m. Eight (8) states received electricity for only 4 hours of the day, while some states like Lagos State received as much as 24 hours. The percentage grid allocation to the distribution companies needs to be revised to improve even distribution of electricity across the nation, and transmission and distribution losses need to be drastically reduced. Further analysis revealed that Nigeria presently needs to generate 240,000 MWH (or 19, 583 MWH/H) of electricity in order to provide 24 hours of electricity to every state across the nation. Future work includes power generation analysis to investigate the effect of new generating stations on each electricity distribution region in Nigeria.},
 year = {2020}
}

Copy | Download

TY - JOUR
T1 - Analysis and Optimization of Automated Power Distribution Within Nigeria
AU - Godswill Ofualagba
AU - O’tega Ejofodomi
Y1 - 2020/01/06
PY - 2020
N1 - https://doi.org/10.11648/j.ajme.20190505.11
DO - 10.11648/j.ajme.20190505.11
T2 - American Journal of Modern Energy
JF - American Journal of Modern Energy
JO - American Journal of Modern Energy
SP - 74
EP - 83
PB - Science Publishing Group
SN - 2575-3797
UR - https://doi.org/10.11648/j.ajme.20190505.11
AB - Nigeria currently generates approximately 81,122 MWH (or 3,380 MWH/H) of electricity for national consumption, which is far less than the daily electricity demand of the country, leading to a need for allotted power distribution within the country. A power optimization software owned and patented by RACETT NIGERIA LTD. was used to perform automated distribution of electricity from the National Grid for October 1, 2019. The software automatically calculated and deducted the power transmission loss in transporting the electricity from the generating stations to the distribution companies by the Transmission Company of Nigeria (TCN). The total power available for distribution was automatically shared to 11 distribution companies based on the established electricity grid percentage allocation. After deducting the distribution losses for each distribution companies, the remaining electricity was distributed among constituent states, and the hours of electricity supplied to each state selected, with priority given to the peak demand period of 8:00 p.m. -11: 00 p.m. The distribution results show that Nigeria is currently able to provide 4 hours of electricity across the nation from 8:00 p.m. - 12:00 a.m. Eight (8) states received electricity for only 4 hours of the day, while some states like Lagos State received as much as 24 hours. The percentage grid allocation to the distribution companies needs to be revised to improve even distribution of electricity across the nation, and transmission and distribution losses need to be drastically reduced. Further analysis revealed that Nigeria presently needs to generate 240,000 MWH (or 19, 583 MWH/H) of electricity in order to provide 24 hours of electricity to every state across the nation. Future work includes power generation analysis to investigate the effect of new generating stations on each electricity distribution region in Nigeria.
VL - 5
IS - 5
ER -

Copy | Download

Author Information

Godswill Ofualagba

Engineering Department, Racett Nigeria Ltd., Abuja, Nigeria
O’tega Ejofodomi

Engineering Department, Racett Nigeria Ltd., Abuja, Nigeria

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Godswill Ofualagba, O’tega Ejofodomi. (2020). Analysis and Optimization of Automated Power Distribution Within Nigeria. American Journal of Modern Energy, 5(5), 74-83. https://doi.org/10.11648/j.ajme.20190505.11

Copy | Download

ACS Style

Godswill Ofualagba; O’tega Ejofodomi. Analysis and Optimization of Automated Power Distribution Within Nigeria. Am. J. Mod. Energy 2020, 5(5), 74-83. doi: 10.11648/j.ajme.20190505.11

Copy | Download

AMA Style

Godswill Ofualagba, O’tega Ejofodomi. Analysis and Optimization of Automated Power Distribution Within Nigeria. Am J Mod Energy. 2020;5(5):74-83. doi: 10.11648/j.ajme.20190505.11

Copy | Download

@article{10.11648/j.ajme.20190505.11,
  author = {Godswill Ofualagba and O’tega Ejofodomi},
  title = {Analysis and Optimization of Automated Power Distribution Within Nigeria},
  journal = {American Journal of Modern Energy},
  volume = {5},
  number = {5},
  pages = {74-83},
  doi = {10.11648/j.ajme.20190505.11},
  url = {https://doi.org/10.11648/j.ajme.20190505.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajme.20190505.11},
  abstract = {Nigeria currently generates approximately 81,122 MWH (or 3,380 MWH/H) of electricity for national consumption, which is far less than the daily electricity demand of the country, leading to a need for allotted power distribution within the country. A power optimization software owned and patented by RACETT NIGERIA LTD. was used to perform automated distribution of electricity from the National Grid for October 1, 2019. The software automatically calculated and deducted the power transmission loss in transporting the electricity from the generating stations to the distribution companies by the Transmission Company of Nigeria (TCN). The total power available for distribution was automatically shared to 11 distribution companies based on the established electricity grid percentage allocation. After deducting the distribution losses for each distribution companies, the remaining electricity was distributed among constituent states, and the hours of electricity supplied to each state selected, with priority given to the peak demand period of 8:00 p.m. -11: 00 p.m. The distribution results show that Nigeria is currently able to provide 4 hours of electricity across the nation from 8:00 p.m. - 12:00 a.m. Eight (8) states received electricity for only 4 hours of the day, while some states like Lagos State received as much as 24 hours. The percentage grid allocation to the distribution companies needs to be revised to improve even distribution of electricity across the nation, and transmission and distribution losses need to be drastically reduced. Further analysis revealed that Nigeria presently needs to generate 240,000 MWH (or 19, 583 MWH/H) of electricity in order to provide 24 hours of electricity to every state across the nation. Future work includes power generation analysis to investigate the effect of new generating stations on each electricity distribution region in Nigeria.},
 year = {2020}
}

Copy | Download