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

QUALITATIVE ANALYSIS OF LOAD LOSSES ON NIGERIAN 330 kV TRANSMISSION LINES

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Published: May 31, 2024 Vol/Issue: Volume 8, Issue 2 Pages: 1-13 Language: EN
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IJIETS • COOU
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, University of Agriculture and Environmental Sciences, Umuagwo, Imo 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

This work aimed at providing a qualitative analysis of technical losses in transmission lines using Nigerian
330 kV lines as a case study. The specific objectives of this study include mathematical modeling of the Nigeria
transmission network, incorporating long transmission lines effects on a 52-bus network. The system is
modeled in DIgSILENT PowerFactory and advanced Newton-Raphson's load flow algorithm is employed to
determine systems parameters of each of the 330 kV buses, hence, qualifying the evaluation of voltage profile,
voltage drop, and transmission line losses. This analysis reveals variations in power generation at different
locations, contributing to increased line power losses and significant voltage drops in certain bus bars. The
frailest buses are identified in the northern part of the country, in areas such as Kano, Yola, Damaturu,
Maiduguri, and Gombe, with voltage deviations exceeding the ±5 % of the nominal voltage level, while the
strongest bus exists in the west - Egbin and Olorunsogo. The total power loss is found to correlate with the
percentage line loading, with the heaviest loaded line experiencing the highest total loss such as, the EgbinBenin line with a loading of 103.81 % experiences the highest total loss of 51.70 MW. The least efficient line
in terms of power loss is Alaoji-Terminal II, which loses 34.62 % of the transmitted power. This inefficiency
can be attributed to its operating conditions as it connects both the south-eastern and south-southern zones
of the network but has variable power supply from both Afam, Alaoji GENCOs and Onitsha TCN.

Index Terms

Buses DIgSILENT line losses load flow national grid transmission lines.

How to cite this article

Authors: Adeyi, A. A., Ezeonye, C. S., Oputa, O., Obi, P. I.
Volume/Issue: Volume 8, Issue 2
Pages: 1-13
Published: May 31, 2024
Affiliations: Department of Electrical & Electronic Engineering, Michael Okpara University of Agriculture, Umudike, Abia state, Department of Electrical & Electronic Engineering, University of Agriculture and Environmental Sciences, Umuagwo, Imo State
Adeyi, A. A., Ezeonye, C. S., Oputa, O., Obi, P. I. (2024). QUALITATIVE ANALYSIS OF LOAD LOSSES ON NIGERIAN 330 kV TRANSMISSION LINES. International Journal of Innovative Engineering, Technology & Science (IJIETS), Volume 8, Issue 2, 1-13.
Adeyi, A. A., Ezeonye, C. S., Oputa, O., Obi, P. I.. "QUALITATIVE ANALYSIS OF LOAD LOSSES ON NIGERIAN 330 kV TRANSMISSION LINES." International Journal of Innovative Engineering, Technology & Science (IJIETS), vol. Volume 8, Issue 2, 2024, pp. 1-13.
Adeyi, A. A., Ezeonye, C. S., Oputa, O., Obi, P. I.. "QUALITATIVE ANALYSIS OF LOAD LOSSES ON NIGERIAN 330 kV TRANSMISSION LINES." International Journal of Innovative Engineering, Technology & Science (IJIETS) Volume 8, Issue 2 (2024): 1-13.
@article{qualitativeanalysisofloadlossesonnigerian330kvtransmissionlines2024, author = {Adeyi, A. A. and Ezeonye, C. S. and Oputa, O. and Obi, P. I.}, title = {QUALITATIVE ANALYSIS OF LOAD LOSSES ON NIGERIAN 330 kV TRANSMISSION LINES}, journal = {International Journal of Innovative Engineering, Technology & Science (IJIETS)}, year = {2024}, volume = {Volume 8, Issue 2}, pages = {1-13} }

  • Published: May 31, 2024
  • Volume/Issue: Volume 8, Issue 2
  • Pages: 1-13

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