IIARD INTERNATIONAL JOURNAL OF GEOGRAPHY AND ENVIRONMENTAL MANAGEMENT (IJGEM )
E-ISSN 2504-8821
P-ISSN 2695-1878
VOL. 11 NO. 4 2025
DOI: 10.56201/ijgem.vol.11.no4.2025.pg25-36
O A Aliyu, T O Ale, OI DareAdeniran, IC Orji, HO Aliyu
This study aims at estimating and determining load adequacy of a typical transformer and distribution network using Ogo-Oluwantan distribution network, Mokuro-Ibode Road, Ile-Ife as a case study. This is essential in a rapid growing load demands in order to determine adequacy of an existing transformer (check for overloading) and propose a new transformer when necessary in an existing distribution network. It involves extensive review of the literature, the historical evolution of power distribution networks and the growing significance of relief transformers in maintaining stable power supply during unforeseen events were explored. In order to achieve the aim of this research, load demand estimation of the existing distribution network was carried out, the network layout containing three feeders; feeder 1, feeder 2 and feeder 3 were produced using ArcMap software. Also, the adequacy of the existing distribution transformer was assessed by measuring the connected loads on the distribution network using clamp meter, digital multi-meter, cables, terminal connectors and load flow analysis was performed to determine the load demand of the transformer and the voltage profile of the distribution network. The load demand estimation on the distribution network showed that the measured currents for feeder 1, feeder 2, and feeder 3 are 252.13 A, 843.07 A and 353.07 A respectively. The voltage profile showed that the voltage levels recorded at the nodes are not within the permissible ±10% voltage deviation recommended for load buses. The least voltage recorded at the secondary terminal of the transformer was 366 V which is 88.27% of the designed voltage level of 415 V. The results indicated that the existing distribution transformer of the study area is not adequate.
Load, estimation, permissible, load flow, distribution, network, maximum
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