International Journal of Innovative Engineering, Technology & Science (IJIETS)
Research Article

Automatic Control Model for Load Shedding in Atani 33KV Injection Substation - Nigeria Network

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Published: May 31, 2021 Vol/Issue: Volume 4, Issue 2 Pages: 1-15 Language: EN
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IJIETS • COOU
International Journal of Innovative Engineering, Technology & Science (IJIETS)
International Journal of Innovative Engineering, Technology & Science
Dept. of Electrical/Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria
Dept. of Electrical/Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria
Dept. of Electrical/Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria

Summary

Energy demand is high and the so is the satisfaction derived from steady power supply. Power availability and steady supply promotes
business undertaking in most localities. This in turn promotes economic growth and human wellbeing. There are serious challenges
facing the power sector in Nigeria which covers generation, transmission and distribution. This has led to unsteady power supply and
incessant power outage. Lack of power infrastructures, ageing facilities, poor maintenance, negligence and overloading the
transformers are factors that can affect power supply as they affect inability to manage the power generated properly. Managing the
little generated power for the teaming users becomes difficult. The allocated power to different load centers is inadequate resulting to
emergency load shedding. This paper focuses on how to reduce this emergency load shedding in distribution lines. Automatic control
method was adopted to reduce emergency load shedding in distribution lines, with emphasis on allocate load (megawatts) to maintain,
monitor and raise alarm if consumption exceeds the allocated load. This method also presents control or isolation mechanism for
substations that exceeds load allocation. The Atani 33KV Injection Substation in Anambra State was used as a case study where
distribution line outages data was collated and automatic control model using MATLAB was used to analyze the distribution Line
Network outage data and results were simulated. Hypertext Pre-processor (PHP) software was used to write a program that
monitored and controlled load allocation.. The result showed that automatic control model reduces emergency load shedding by 8%.
This model can be extended to the entire grid to reduce emergency load shedding.

Index Terms

Emergency Load Shedding Power Outage Reduction Automatic Control Model and Improved Power Supply

How to cite this article

Authors: David, E. E., Atuchukwu, A. J., Okonkwo, I. I.
Volume/Issue: Volume 4, Issue 2
Pages: 1-15
Published: May 31, 2021
Affiliations: Dept. of Electrical/Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Anambra State, Nigeria
David, E. E., Atuchukwu, A. J., Okonkwo, I. I. (2021). Automatic Control Model for Load Shedding in Atani 33KV Injection Substation - Nigeria Network. International Journal of Innovative Engineering, Technology & Science (IJIETS), Volume 4, Issue 2, 1-15.
David, E. E., Atuchukwu, A. J., Okonkwo, I. I.. "Automatic Control Model for Load Shedding in Atani 33KV Injection Substation - Nigeria Network." International Journal of Innovative Engineering, Technology & Science (IJIETS), vol. Volume 4, Issue 2, 2021, pp. 1-15.
David, E. E., Atuchukwu, A. J., Okonkwo, I. I.. "Automatic Control Model for Load Shedding in Atani 33KV Injection Substation - Nigeria Network." International Journal of Innovative Engineering, Technology & Science (IJIETS) Volume 4, Issue 2 (2021): 1-15.
@article{automaticcontrolmodelforloadsheddinginatani33kvinjectionsubstationnigerianetwork2021, author = {David, E. E. and Atuchukwu, A. J. and Okonkwo, I. I.}, title = {Automatic Control Model for Load Shedding in Atani 33KV Injection Substation - Nigeria Network}, journal = {International Journal of Innovative Engineering, Technology & Science (IJIETS)}, year = {2021}, volume = {Volume 4, Issue 2}, pages = {1-15} }

  • Published: May 31, 2021
  • Volume/Issue: Volume 4, Issue 2
  • Pages: 1-15

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