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An Accurate Algorithm for Power Transformer Turn to Turn Fault Detection to Enhance the Performance of Differential Relay

Farzin, Nima | 2020

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 52805 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Vakilian, Mehdi; Hajipour, Ehsan
  7. Abstract:
  8. Power transformer is one of the most important equipment in the power system which plays a key role in the reliability and quality of power delivery. Among numerous failure modes of a typical power transformer, the turn-to-turn fault (TTF) is one of the most prominent reasons for its unplanned outage. A turn-to-turn fault quite often begins with the degradation of the winding insulation between two adjacent turns, then in a short time, this low-level fault can progress to a large number of turns and results in the transformer costly damages. Therefore, it is vital to detect TTF at an early stage and prevent its progression to a catastrophic disaster. The conventional percentage differential relay is not sensitive enough to detect TTF in its incipient stage. Therefore, in this dissertation, by employing the positive and negative sequence components of the differential currents, a fast and sensitive algorithm is introduced to detect minor turn-to-turn faults. The performance of this algorithm is verified both by tests performed on a custom-built transformer and by improved TTF simulations. Then, the proposed algorithm is implemented into a conventional differential relay as an add-on function and it is shown a reliable and secure performance
  9. Keywords:
  10. Power Transformer ; Protection ; Transformer Model ; Differential Relay ; Turn to Turn Fault Detection ; Optimal Operation ; Power Network

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