Abstract
Transformer operation conditions are quite crucial for industry as they have significant influence on transformer remained lifetime. This influence becomes even more significant once transformer operates at high ambient temperature. Hence, development of an intelligent system that able to monitor the effect of environmental conditions on remained lifetime together with aging rate, and provide information in real time is substantial. This study is focused on an online system forecasting transformer aging rate and remained life. To evaluate the proposed model, simulation results are compared to calculations proposed by IEC standards. Moreover, system's behavior under real life conditions is analyzed and results suggesting possible industry enhancements are provided.
| Original language | English |
|---|---|
| Title of host publication | 2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509010806 |
| DOIs | |
| Publication status | Published - Jul 31 2017 |
| Externally published | Yes |
| Event | 2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Astana, Kazakhstan Duration: Jun 29 2017 → Jun 30 2017 |
Conference
| Conference | 2017 International Siberian Conference on Control and Communications, SIBCON 2017 |
|---|---|
| Country/Territory | Kazakhstan |
| City | Astana |
| Period | 6/29/17 → 6/30/17 |
Keywords
- Aging rate
- Dry type transformer
- Hot-spot temperature
- Online monitoring system
- Transformer efficiency
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Control and Optimization
- Electrical and Electronic Engineering
- Mechanical Engineering