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

DYNAMIC MODELLING OF LOAD DEMAND FOR EFFICIENT POWER DISPATCH IN UMUAHIA METROPOLIS

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Published: February 29, 2020 Vol/Issue: Volume 3, Issue 1 Pages: 1-13 Language: EN
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International Journal of Innovative Engineering, Technology & Science (IJIETS)
International Journal of Innovative Engineering, Technology & Science
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.

Summary

Despite Nigeria’s key position in Africa, electric power crisis and frequent outages in the Nation have degenerated to a
major acute problem. These problems are associated with inadequate generation, insufficient and unreliable
evacuation/transmission of same. As a result, dispatch centers and distribution companies find it difficult to optimally
dispatch the limited energy particularly to economic viable consumers considering the fact that the bedrock of every
industry is primarily to survive extinction through revenue collection. However, this research is focused on presenting an
efficient and economic power dispatch technique in Umuahia Metropolis. The materials used in this research include load
data from eight EEDC Injection Substations in Umuahia Metropolis, MATLAB Simulation Software and Microsoft Excel.
Also, the methods adopted are statistical method of interpolation and Mann-Whitney’s test for data collection and
evaluation. Load demand (daily, monthly and yearly) equations were used for data analysis and interpretation. Also, an
economic load dispatch technique was developed using Microsoft Excel. This technique design has the ability to distribute
available power (energy allocation) with respect to economically viable consumers. However, if these results are carefully
implemented, it will afford EEDC the opportunity to serve their economically viable customers better and will also
motivate other non-economic viable customers to improve. Thus, EEDC’s general revenue collection will increase, since
the main aim of every business owner is primarily to increase productivity and maximize profit (Optimization).

Index Terms

Load Demand Optimization Load Dispatch Injection Substation

How to cite this article

Authors: Obi, P. I., Amako, A. E., Okorie, S., Emeghara, M. C.
Volume/Issue: Volume 3, Issue 1
Pages: 1-13
Published: February 29, 2020
Affiliations: Department of Electrical/Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia State.
Obi, P. I., Amako, A. E., Okorie, S., Emeghara, M. C. (2020). DYNAMIC MODELLING OF LOAD DEMAND FOR EFFICIENT POWER DISPATCH IN UMUAHIA METROPOLIS. International Journal of Innovative Engineering, Technology & Science (IJIETS), Volume 3, Issue 1, 1-13.
Obi, P. I., Amako, A. E., Okorie, S., Emeghara, M. C.. "DYNAMIC MODELLING OF LOAD DEMAND FOR EFFICIENT POWER DISPATCH IN UMUAHIA METROPOLIS." International Journal of Innovative Engineering, Technology & Science (IJIETS), vol. Volume 3, Issue 1, 2020, pp. 1-13.
Obi, P. I., Amako, A. E., Okorie, S., Emeghara, M. C.. "DYNAMIC MODELLING OF LOAD DEMAND FOR EFFICIENT POWER DISPATCH IN UMUAHIA METROPOLIS." International Journal of Innovative Engineering, Technology & Science (IJIETS) Volume 3, Issue 1 (2020): 1-13.
@article{dynamicmodellingofloaddemandforefficientpowerdispatchinumuahiametropolis2020, author = {Obi, P. I. and Amako, A. E. and Okorie, S. and Emeghara, M. C.}, title = {DYNAMIC MODELLING OF LOAD DEMAND FOR EFFICIENT POWER DISPATCH IN UMUAHIA METROPOLIS}, journal = {International Journal of Innovative Engineering, Technology & Science (IJIETS)}, year = {2020}, volume = {Volume 3, Issue 1}, pages = {1-13} }

  • Published: February 29, 2020
  • Volume/Issue: Volume 3, Issue 1
  • Pages: 1-13

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