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Comparative Operational Performance Assessment of 33 kV Distribution Feeders Using Load Profile Characteristics and Utilization Indices

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  • Adetunmbi O.O.

    (Department of Statistics, Federal Polytechnic, Ile-Oluji, Ondo State, Nigeria)

  • Adetunmbi A.O.

    (Department of Electrical/Electronic Engineering, Federal Polytechnic, Ile-Oluji, Ondo State, Nigeria)

  • Akinsooto O.O.

    (Department of Electrical/Electronic Engineering, Federal Polytechnic, Ile-Oluji, Ondo State, Nigeria)

Abstract

The operational performance of electricity distribution feeders is influenced by variations in load demand and the extent to which available network capacity is utilized. This study comparatively assessed the Ondo, Okitipupa and Ile-Oluji 33 kV distribution feeders using monthly peak and off-peak load-demand data for 2023–2025. The analysis employed an estimated two-period load factor, peak-to-off-peak demand ratio (PDR), coefficient of variation (CV), feeder utilization index (FUI), descriptive statistics and Pearson correlation. Ondo recorded the highest three-year mean peak demand (10.90 MW), whereas Ile-Oluji had the highest overall estimated load factor (0.76). Ondo also had the highest average PDR (2.72) and the greatest three-year peak-demand variability (CV = 22.28%). Relative to the maximum observed peak during the study period, the three-year mean FUI values were 74.17% for Ondo, 75.33% for Okitipupa and 76.84% for Ile-Oluji. Peak demand declined markedly on the Ondo feeder from a 2023 mean of 12.87 MW to 7.81 MW in 2025. The results demonstrate that feeder performance depends not only on peak-demand magnitude but also on the temporal distribution and stability of demand. Regular load monitoring, demand-side management, load balancing and timely network reinforcement are recommended.

Suggested Citation

  • Adetunmbi O.O. & Adetunmbi A.O. & Akinsooto O.O., 2026. "Comparative Operational Performance Assessment of 33 kV Distribution Feeders Using Load Profile Characteristics and Utilization Indices," International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 15(7), pages 2452-2462, August.
    • Handle: RePEc:bjf:ijltem:v:15:y:2026:i:7:a:181
    DOI: 10.51583/IJLTEMAS.2026.150700180
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