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Journal : ELKHA : Jurnal Teknik Elektro

Analysis of the Effect of Temperature on Performance Efficiency in Three Phase Transformers Nugraha, Yoga Tri; Pangestu, Adam; Wardani, Sumita; Irwanto, Muhammad; Pasaribu, Faisal Irsan; Evalina, Noorly
ELKHA : Jurnal Teknik Elektro Vol. 17 No.2 October 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i2.92879

Abstract

Transformers are essential components in electrical power distribution systems, and their performance is significantly influenced by operating temperature. High temperatures can lead to increased power losses, particularly copper losses, which reduce transformer efficiency. This research examines the impact of temperature on the efficiency of three-phase transformers, focusing on copper losses and the role of cooling systems in maintaining optimal performance. Using a combination of Thermovision infrared imaging and MATLAB simulations, this research introduces a novel integrated approach to correlate real-time thermal data with theoretical modeling of transformer losses. Unlike previous research that relies solely on either simulation or temperature sensors, the use of Thermovision provides spatially resolved, non-invasive temperature measurements that validate and enhance the accuracy of MATLAB-based thermal-electrical models. The results reveal that the operational temperature of 52.9 °C, as detected by Thermovision, is within safe limits; however, higher temperatures significantly decrease efficiency. The efficiency drops from 92.8% at 25 °C to 90.4% at 120 °C. The exponential trend in copper losses with temperature rise underscores the critical role of effective cooling and temperature monitoring systems. While the magnetic flux remains constant, maintaining lower operating temperatures is essential to prevent premature damage and extend transformer lifespan. Thermovision results were used to validate the simulations. Despite small discrepancies, the consistent pattern provides confidence that the simulation model is sufficiently accurate for performance prediction.
Co-Authors -, Evta Indra -, Ruben Abdul Azis H Achmad Ridwan, Achmad Adam Pangestu Adam, Muhammad Ahmad Arif Arif Milando Setiawan Arnawan Hasibuan Baharuddin Ismail Baharudin, Nor Hanisah Catra Indra Cahyadi Dachi, Rinistin Dayana, Indri Delima Sitanggang, Delima Denny Hasminta Sembiring Maha Eddy Warman Ega Trisna Rahayu Evalina, Noorly Evalina, Noorly FADHILLAH AZMI Fadlan Siregar, Muhammad Franz Beckhen Bauer Simanjuntak Ginting, Riski Titian Ginting, Riski Titian Gultom, Immanuel Roni Habib Satria Hermansyah Hutasuhut, Syafrida Hanum Iman Faisal Dharmawan Indra Roza Irwanto, Muhammad Jusoh, Muzzammil Karo-Karo, Muhamad Azlin Kelvin Ghabriel Kelvin Ghabriel Laia, Frengki Ditus Lidya Rahmani Laia M. Soleh Nasution Maizana, Dina Manalu, Harry Hendra Mardi Turnip, Mardi Md Arshad, Syahrun Nizam Muchsin Harahap Muhammad Irwanto Muhjam Kamza Mungkin, Moranain Nainggolan, Winner Parluhutan Nasution, Farsya Alfitri Nestovani, Eldora Christabel Ni'Mah, Heni Sholikhatun Ningsih, Margie Subahagia Nisja, Indra Novalianda, Sari Othman, M.A. Othman, Mohd Azlishah Othman, Mohd. Azlishah Panangian Mahadi Sihombing Pasaribu, Faisal Irsan Perangin-angin, Despaleri Ramadhan, Fakhri Rida, Rizkha Rizky Surya Andhayani Nasution Rony, Zahara Tussoleha Sari Novalianda Sayekti, Dania Tutra Eka Selis Selis SEMBIRING, RESEP Sholeha, Dewi Simanjuntak, Puan Maharani Sitompul, Daniel Ryan Hamonangan Situmorang, Andreas Sri Indah Rezkika Sri Liniarti Sri Ulina Suwarno - Syafruddin Hasan Syahrun Nizam Md Arshad Tania Artamevia Teguh Ramdani Teuku Kusnafizal Teuku Kusnafizal, Teuku Tigor Richardo Fery Dony Sitindaon Togar Timoteus Gultom Vicky Ade Efendi WARDANI, SUMITA Winda Sari, Vina Zakaria, Zulkarnay Zambak, Muhammad Fitra Zulfikar Zulfikar