Electrical Percent Loading Assessment for the Distribution Transformers Residential-Used of a Barangay
Romalyn H. Gomez1, John Leslie M. Dizon2, Christine Ann S. Teodoro3, Joeme Carl Demegillo4, Noel T. Florencondia5

1Romalyn H. Gomez. Instructor, Electronics and Communications Engineering Department, Don Honorio Ventura State University (DHVSU), Philippines.
2John Leslie M. Dizon. Staff Engineer , Technical Services Department , Pampanga I Electric Cooperative (PELCO I), Philippines.
3Christine Ann S. Teodoro. College Instructor, Electrical Engineering Department, Technological Institute of the Philippines – Quezon City (TIP-QC), Philippines.
4Joeme Carl Demegillo. Production Manager , D’Truck Specialist Inc. Noel T. Florencondia. Dean, College of Engineering of Nueva Ecija University of Science and Technology (NEUST), Philippines.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 3020-3024 | Volume-9 Issue-3, February 2020. | Retrieval Number:  C5920029320/2020©BEIESP | DOI: 10.35940/ijeat.C5920.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Proper rating of transformer is important to maximize the useful life and efficiency of the equipment. A higher or lower rating of the transformer can provide either a higher system loss or disconnection of consumer to an electricity provider. In this study, assessment of residential transformer of a barangay was considered. The percent loading of each transformers was evaluated by the used of the standard set by National Electrification Administration (NEA). The software used in the study is Microsoft Excel 2016 for determining the percent loading of each residential transformers. After the percent loading was identified, clustering of transformers was made according to the loading conditions. Changes in rating were also performed to correct the percent loading of the transformer. From 2017 to 2019, 13 transformers or 48.14 % were underloaded while 6 or 22.22% were found to be overloaded. By changing the rating of the transformer in the barangay, the percent loading of the 6 overload transformers were corrected. For the 13 underloads, 12 of which were amended. Moreover, there is still an underload unit RT19 considering the change in rating the available lowest rating of the transformer was already reached. The researchers recommend using load centering to minimize the number of transformers. To compare the monthly kWhr consumption, the monitor of the daily basis kWHr ingestion using Automated Mapping/Facility Management/ Geographical Information System or AM/FM/GIS was endorsed to identify the peak load of each transformer.
Keywords: KVA Rating, Residential Transformers, Overload, Underload