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Assessment Evaluation of Nigeria’s 330kV Electric Power System Reliability Indices for Benchmarking and Operational Improvement Planning

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Abstract:

This work determines the reliability indices of the Nigeria 330kV electric power network, which is susceptible to disturbances. Besides, the network configuration is inadequate as it is vulnerable, resulting in transmission line outages. The cardinal object, therefore, is to benchmark the indices against established standards to enable effective operational improvement planning. First, a simulation was conducted using the Electrical Transient Analyzer Program (ETAP) and validated with the Power System Simulator for Engineering (PSS/E) software to assess bus voltages, line flows, and system losses. Subsequently, the ETAP software was applied to determine reliability indices such as the System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), Average Service Availability Index (ASAI), Average Energy Not Supplied (AENS) and Expected Energy Not Supplied (EENS). The simulation results obtained for SAIFI, SAIDI, CAIDI, and ASAI on the test network are 3.2684 f/customer. yr, 9.4140 hours per customer in a year, 2.880 hours per customer interruption, and 0.9989 respectively. Likewise, the AENS with gave a high value of 1360.9340 MWh/customer. yr indicating that on the average, customer is are expected to lose access to 1360.9340 MWh of energy annually. Furthermore, the high value of EENS estimated at 55,798.300 MWh/yr means that the power system is expected to fail to supply 55,798.300 MWh of electricity in one year due to various incidents of failure. These values were compared with the standard IEEE values and were found to be outside the threshold; thus, making it imperative that the indices be utilized to undertake further work that would result in improved and efficient operation of the national grid.

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Periodical:

Engineering Innovations (Volume 18)

Pages:

85-97

DOI:

https://doi.org/10.4028/p-m9mNBs

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Cite this paper

Online since:

March 2026

Authors:

Maman Jimoh Lawal*, Oghenewvogaga Oghorada, Babatunde Adetokun, Omotayo Oshiga

Keywords:

AENS, ASAI, CAIDI, EENS, Reliability, SAIDI, SAIFI

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RIS, BibTeX

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Creative Commons CC BY 4.0

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* - Corresponding Author

References

[1] J. Figueroa, K. Bubbar, and G. Young-Morris, "An Open-Source Tool for Composite Power System Reliability Assessment in Julia," Energies, vol. 17, no. 20, 2024, p.5023.

DOI: 10.3390/en17205023

Google Scholar

[2] O. Babatunde, E. Buraimoh, O. Tinuoye, C. Ayegbusi, I. Davidson, and D. E. Ighravwe, "Electricity sector assessment in Nigeria: the post-liberation era," Cogent Eng, vol. 10, no. 1, 2023, p.1–24.

DOI: 10.1080/23311916.2022.2157536

Google Scholar

[3] A. U. Adoghe, T. M. Adeyemi-Kayode, V. Oguntosin, and I. I. Amahia, "Performance evaluation of the prospects and challenges of effective power generation and distribution in Nigeria," Heliyon, vol. 9, no. 3, 2023, e14416.

DOI: 10.1016/j.heliyon.2023.e14416

Google Scholar

[4] M. A. Jimoh and B. Raji, "Electric Grid Reliability: An Assessment of the Nigerian Power System Failures, Causes and Mitigations," Covenant Journal of Engineering Technology, vol. 7, no. 1, 2023.

Google Scholar

[5] A. G. Migisha, J. M. Ntayi, F. Buyinza, L. Senyonga, J. Abaliwano, and M. S. Adaramola, "Review of Concepts and Determinants of Grid Electricity Reliability," Energies, Vol. 16, Page 7220, vol. 16, no. 21, 2023, p.7220.

DOI: 10.3390/en16217220

Google Scholar

[6] R. Haghighi, V.-H. Bui, M. Wang, and W. Su, "Survey of Reliability Challenges and Assessment in Power Grids with High Penetration of Inverter-Based Resources," Energies, vol. 17, no. 21, 2024, p.5352.

DOI: 10.3390/en17215352

Google Scholar

[7] D. Oyiogu, C. Obiora-Okeke, and A. Aniagboso, "Customer Reliability Indices Evaluation of Umudike 11kV Distribution Feeder," Iconic Research and Engineering Journals, vol. 7, no. 9, 2024, p.145–151.

Google Scholar

[8] A. Wahab and D. A. Siddiqui, "Reliability Assessment and Maintenance of Assets in K-Electric Power Distribution Network," Jun. 2024.

DOI: 10.2139/SSRN.4954230

Google Scholar

[9] C. Ihendinihu, M. Kufre, and N. Okpura, "Characterisation of Reliability Indices for a Case Study Power Distribution Network in the South Eastern Nigeria," International Multilingual Journal of Science and Technology, vol. 7, no. 9, 2022, p.6087–6099.

Google Scholar

[10] L. Zhou, Z. Luo, and X. Pan, "Machine learning-based system reliability analysis with Gaussian Process Regression," Mar. 2024.

Google Scholar

[11] M. A. Almi, "Analysis of the 20 kV Distribution Network System Reliability Index Technically and Economically Using the Section Technique Method and RNEA at the Margorukun Feeder," INAJEEE (Indonesian Journal of Electrical and Electronics Engineering), vol. 8, no. 1, 2025, p.32–40.

DOI: 10.26740/inajeee.v8n1.p32-40

Google Scholar

[12] P. Ohiero and E. Effiong, "Reliability Assessment of 33KV Power Distribution System -A Case Study of Calabar 33kV Distribution Network," International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 11, no. 5, 2022, p.2081–2092.

Google Scholar

[13] G. Ajenikoko, O. Ibukunoluwa, A. Shittu, I. Michael, and Y. Mukhtar, "Application of System Reliability Indices in Electric Power System," Journal of Energy Technologies and Policy, vol. 11, no. 6, 2021, p.12–18.

Google Scholar

[14] S. Poudel and P. Shrestha, "Reliability Assessment for Transmission System of Bagmati Province," RESSD 2023 International Conference on Role of Energy for Sustainable Social Development, 2023, p.1–6.

Google Scholar

[15] E. A. Olajuyin, P. K. Olulope, and E. T. Fasina, "An overview on reliability assessment in power systems using CI approaches," Archives of Electrical Engineering, vol. 71, no. 2, 2022, p.425–443.

DOI: 10.24425/aee.2022.140720

Google Scholar

[16] M. J. Abed and A. Mhalla, "Reliability assessment of grid-connected multi-inverter for renewable power generation sector," Arab Gulf Journal of Scientific Research, vol. 42, no. 1, 2024, p.68–84.

DOI: 10.1108/agjsr-08-2022-0149

Google Scholar

[17] J. Zhang et al., "A Fast Reliability Evaluation Strategy for Power Systems under High Proportional Renewable Energy—A Hybrid Data-Driven Method," vol. 12, no. 3, 2024, p.608.

DOI: 10.3390/pr12030608

Google Scholar

[18] G. Adinolfi, R. Ciavarella, G. Graditi, A. Ricca, and M. Valenti, "Innovative Method for Reliability Assessment of Power Systems: From Components Modeling to Key Indicators Evaluation," Electronics 2024, vol. 13, no. 2, 2024, p.275.

DOI: 10.3390/electronics13020275

Google Scholar

[19] A. Abanihi, I. Solomon, H. Amhenrior, and A. Korede, "Modeling and Evaluation of System Reliability for Auchi Distribution Network," Direct Research Journal of Engineering and Information Technology, vol. 11, no. 6, 2023, p.108–121.

Google Scholar

[20] O. Igbogidi and H. Amadi, "Reliability Assessment of Power Systems for Optimal Service Delivery," Journal of Emerging Trends in Electrical Engineering, vol. 5, no. 3, 2023, p.7–15.

Google Scholar

[21] R. O. Okeke, A. I. Ibokette, O. M. Ijiga, L. A. Enyejo, G. I. Ebiega, and O. M. Olumubo, "The Reliability Assessment of Power Transformers," Engineering Science & Technology Journal, vol. 5, no. 4, 2024, p.1149–1172.

DOI: 10.51594/estj.v5i4.981

Google Scholar

[22] C. S. Esobinenwu, "Improvement of Power System Reliability using Distributed Generation: A Case of Igwuruta Community Rivers State," Advance Journal of Science, Engineering and Technology, vol. 8, no. 5, 2023, p.1–7.

Google Scholar

[23] A. E. Airoboman, "Reliability Assessment of Power System Network: A Detailed Review," International Journal of Engineering Technologies IJET, vol. 7, no. 4, 2022, p.90–103.

DOI: 10.19072/ijet.952933

Google Scholar

[24] F. O. Akpojedje and O. O. Osho, "Evaluation of Outage Management and Reliability Indices of Ugbowo 2x15 MVA, 33/11 KV Distribution Network," The Journals of the Nigerian Association of Mathematical Physics, vol. 64, 2022, p.145–156.

Google Scholar

[25] J. N. Chivunga, F. G. Longatt, Z. Lin, and R. Blanchard, "Transmission line redundancy for grid resilience enhancement: The concept of Transmission Lines contributing to Energy Not Supplied (TLENS) on Malawi's transmission grid," Energy Reports, vol. 12, 2024, p.4670–4685.

DOI: 10.1016/j.egyr.2024.10.047

Google Scholar

[26] O. Aliyu, G. Bakare, Y. Haruna, and B. Mai, "Investigation and Analysis of Reliability Improvement of Distribution Network with Distributed Generation System," International Journal of Information, Engineering & Technology, vol. 12, no. 9, 2024, p.1–13.

Google Scholar

[27] B. Lei et al., "A Review of Optimization for System Reliability of Microgrid," Mathematics 2023, Vol. 11, Page 822, vol. 11, no. 4, 2023, p.822.

Google Scholar

[28] A. Durgadevi and N. Shanmugavadivoo, "Availability Capacity Evaluation and Reliability Assessment of IntegratedSystems Using Metaheuristic Algorithm," Computer Systems Science & Engineering, vol. 34, no. 3, p.1951–1971, 2023.

DOI: 10.32604/csse.2023.026810

Google Scholar

[29] Getaye Yeshaneh, "Rapid Power Restoration and Network Reconfiguration for Power Distribution System Reliability Enhancement: A Case Study on Bahir Dar Power Distribution Systems," International Journal of Advanced Research in Science and Technology, vol. 12, no. 3, 2023, p.916–928.

DOI: 10.62226/ijarst20230247

Google Scholar

[30] A. O. Adetunmbi, O. I. Dare-Adeniran, and O. O. Akinsooto, "Reliability Analysis of a Typical 33kV Distribution Network Using MATLAB (A Case Study of Ile-Oluji 33kV Distribution Line)," ABUAD Journal of Engineering Research and Development, vol. 7, no. 1, 2024, p.91–99.

DOI: 10.53982/ajerd.2024.0701.09-j

Google Scholar

[31] G. K. Yadav, N. R. Karki, and B. K. Gautam, "Study of Impact of New Butwal-Gorakhpur 400kV Transmission Line on the Operation and Reliability of INPS," Journal of Advanced College of Engineering and Management, vol. 9, 2024, p.351–361.

DOI: 10.3126/jacem.v9i1.71463

Google Scholar

[32] M. Jawad Abed, N. A. Shalash, and A. Mhalla, "Reliability assessment of PV location based on a new coordination and failure rates of protection relays to minimize indices energy," Cogent Eng, vol. 11, no. 1, 2024.

DOI: 10.1080/23311916.2024.2340301

Google Scholar

[33] M. J. Abed and A. Mhalla, "Reliability assessment of grid-connected multi-inverter for renewable power generation sector," Arab Gulf Journal of Scientific Research, vol. 42, no. 1, 2024, p.68–84.

DOI: 10.1108/agjsr-08-2022-0149

Google Scholar

[34] O. G. Olasunkanmi, W. O. Apena, A. R. Barron, A. O. White, and G. Todeschini, "Impact of a HVDC Link on the Reliability of the Bulk Nigerian Transmission Network," Energies 2022, Vol. 15, Page 9631, vol. 15, no. 24, 2022, p.9631.

DOI: 10.3390/en15249631

Google Scholar

[35] M. J. Lawal, O. Oghorada, and B. Adetokun, "Comparative Analysis of the Snake and Grasshopper Optimization Algorithms in Improving Reliability Indices of the 330kV Grid of Nigeria," International Journal of Electrical and Electronics Engineering, vol. Volume 12, no. 7, 2025, p.147–157.

DOI: 10.14445/23488379/ijeee-v12i7p110

Google Scholar