A Low-Cost Online Health Assessment System for Oil-Immersed Service Transformers Using Real-Time Grid Energy Monitoring

Quynh T. Tran (), Leon Roose, Binh Doan Van and Quang Ninh Nguyen
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Quynh T. Tran: Hawaii Natural Energy Institute, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Leon Roose: Hawaii Natural Energy Institute, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Binh Doan Van: Institute of Energy Science, Vietnam Academy of Science and Technology, Hanoi 100000, Vietnam
Quang Ninh Nguyen: Institute of Energy Science, Vietnam Academy of Science and Technology, Hanoi 100000, Vietnam

Energies, 2022, vol. 15, issue 16, 1-16

Abstract: In this paper, we present a low-cost health assessment system for oil-immersed service transformers using a monitoring device to measure energy in real time. By assessing the important level of transformer components, three indicators, top oil temperature, vibration, and transformer load, were selected as main indicators to investigate the service transformer’s condition. An evaluation system using Fuzzy logic method is also presented in the paper to support monitor transformer health without adding the extra cost of installing expensive sensors. Different testing scenarios with different case studies were carried out on a simulated 50 kVA oil-immersed service transformer to express the feasibility and effectiveness of this low-cost, fast response health assessment system.

Keywords: transformer health; service transformer; real-time energy monitoring; fuzzy logic (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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