Metode Estimasi Suhu Minyak pada Transformator Tenaga melalui Pengukuran Suhu Body Berbasis IoT

Autor: Eko Ariyanto, Fakhruddin Mangkusasmito, Dista Yoel Tadeus, Rizal Alfa Rizki, Heru Winarno
Rok vydání: 2020
Zdroj: Ultima Computing : Jurnal Sistem Komputer. 12:86-90
ISSN: 2549-4007
2355-3286
DOI: 10.31937/sk.v12i2.1783
Popis: Oil cooled power transformer has important role in the electricity distribution system. Its windings were immersed in oil as an insulating medium and also as a cooler. This oil would be heated up due to several things, the most significant was heat generated by winding’s power loss. The monitoring of oil temperature on the transformer was always done routinely every day to maintain its performance and health condition. IoT based measurements could improved efficiency and minimized manpower resources. To realize this the indirect non-destructive measurement method was proposed to estimate transformator’s temperature oil. It will corellate the oil temperature and body temperature through a constant calibration factor derived from calculations. Conducted experiment applied to specific existing transformator and followed by calculations resulted a calibration factor = 1.7749. The smallest average of estimated temperature error was lied in the range of 40 - 90 degrees Celcius.
Databáze: OpenAIRE