Abstract

A power transformer (PT) in power generation or transmission is critical to maintaining electrical continuity. Fault detection on a PT is needed, especially of incipient faults, which are often caused by a turn-to-turn fault (TTF) before it develops into a more severe fault. We use a hybrid algorithm between conventional and modern techniques to detect a developing fault in a PT. The current response signals from a negative sequence current directional algorithm, extended park vector algorithm (EPVA), differential negative sequence current, and EPVA-fuzzy system are combined to distinguish the possibility of a TTF. The subalgorithms are combined using a hybrid detection algorithm to distinguish the faults. The model is a 10 MVA, three-phase PT with Δ-Y configuration 150/300 kV, simulated using MATLAB Simulink software. The results show that by combining the subalgorithms, several limitations are distinguished within the TTF with a slight increase in accuracy.

Highlights

  • Transformer Using Hybrid DetectionPower transformers (PTs) are essential to maintain the stable operation of a power grid

  • Those signals became the input for the sub algorithms, while the hybrid detection algorithm decided the final condition based on the sub algorithms results

  • The result table shows that in the early stage of the to-turn fault (TTF), with a 0.8 and 1.6% short turns level, the extended park vector algorithm (EPVA) and differential negative sequence current were more sensitive to detecting the fault

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Summary

Introduction

Power transformers (PTs) are essential to maintain the stable operation of a power grid. The second harmonic component, and sometimes the fifth harmonic component, to avoid accidental tripping against magnetizing inrush conditions [2,9] Another problem when using conventional differential protection is the detection of the low-level winding turn-toturn fault (TTF). If this fault happens, the terminal current is relatively unchanged, and the circulating current in the short turn area will increase and be dangerous. The negative sequence current scheme could be an alternative for fault detection and distinguish between an internal (TTF) and an external fault. The extended park vector algorithm (EPVA) method can detect and distinguish turn-to-turn winding insulation failures from magnetizing inrush current transients.

Hybrid Algorithm in TTF Diagnosis System
Conventional Differential Protection
Negative Sequence Directional Algorithm
Differential Negative-Sequence Protection
Fuzzy EPVA
Simulation Setup
Simulation and Comparative Analysis
Turn-to-Turn Fault Scheme
External Fault Scheme
Normal Scheme
Findings
Conclusions
Full Text
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