Abstract
Distribution transformers are commonly designed and manufactured to operate at fundamental frequency and to facilitate sinusoidal loads. The operation of loads that draw distorted currents culminate in higher losses, hotspot temperatures, degradation of insulation materials and declined service life. To avert these technical challenges, the continuous power rating of the transformer under current harmonics has to be reduced. This paper presents some analysis into the effect of current harmonics on the maximum loading capability of oil-filled transformers that are intended to operate within solar power plants. The harmonic spectrum derived by the presence of non-linear loads and seen by the transformer during service is presented. A recommended practice for derating the transformer described in the IEEE std. C57. 10-2018 is adopted in the study.
| Original language | English |
|---|---|
| Title of host publication | 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728141626 |
| DOIs | |
| Publication status | Published - Jan 2020 |
| Externally published | Yes |
| Event | 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 - Cape Town, South Africa Duration: 29 Jan 2020 → 31 Jan 2020 |
Publication series
| Name | 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020 |
|---|
Conference
| Conference | 2020 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa, SAUPEC/RobMech/PRASA 2020 |
|---|---|
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 29/01/20 → 31/01/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Degradation of insulation
- Derating
- Distribution transformers
- Hotspot temperatures
- Losses
- Service life
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Energy Engineering and Power Technology
- Mechanical Engineering
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