Turn-to-Turn Fault Diagnosis on Three-Phase Power Transformer Using Hybrid Detection Algorithm

Liu, Chien-Hsun; Muda, Willybrordus H. P.; Kuo, Cheng‐Chien

doi:10.3390/app11062608

Cited by 4 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Modern logic differential relays are capable to accurately compute the negative sequence current quantities from actual measured current phases [21,22]. So, internal/external fault discriminator algorithm can be developed on the basis of negative sequence current quantities and it can be reliable in detecting and locating external faults.…”

Section: Introductionmentioning

confidence: 99%

Improvement of power transformer differential protection through detection and exploitation of the negative sequence currents

Zitouni

2022

Electrical Engineering & Electromechanics

View full text Add to dashboard Cite

Introduction. Power transformers are the most important and the most expensive equipment used in transport and distribution of electrical energy. Their failure results in huge economic losses. Despite the great advances in the design of power equipment in recent years, the feeble link in the chain remains the insulation weakness of coil turns of the power transformer. The novelty of the proposed research consists in the development of a new procedure for diagnosing and localizing the occurrence of turn to turn short-circuits in the windings of three-phase power transformer. The main problems of the current differential relay are short circuits of one or more turns of a transformer winding. Hence a new approach using' the amplitude comparison between the negative sequence currents' is developed and a digital discriminator internal / external fault is applied to discriminate turn to turn faults among the other ones. The proposed procedure is based on the exploitation of the negative sequence currents. The purpose of using this new procedure is to identify small faults inside power transformer coils and to distinguish inner faults from the outer faults by using an ameliorate circuit. The method used in this paper is a novel algorithm which based on the comparison between the negative sequence current amplitudes and to calculate the corresponding phase angle shifts. The performance of the proposed procedure has been confirmed by MATLAB/Simulink environment. The results of simulation reveal the efficiency of the suggested procedure, and indicate that this procedure can provide fast and sensitive approach for detecting low level turn-to-turn faults.

show abstract

Section: Introductionmentioning

confidence: 99%

Improvement of power transformer differential protection through detection and exploitation of the negative sequence currents

Zitouni

2022

Electrical Engineering & Electromechanics

View full text Add to dashboard Cite

show abstract

Negative-sequence current integral method for detection of turn-to-turn faults between two parallel conductors in power transformers

Solak

Mieske

Schneider

2022

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

Analysis of primary side turn-to-turn short circuit fault in PT at the generator outlet and diagnosis using CSSA-GMM

Wei,

Li,

et al. 2024

Front. Energy Res.

View full text Add to dashboard Cite

In power systems, potential transformers (PTs) are responsible for stepping down high voltage to low voltage. However, a short circuit between turns on the primary side of a generator outlet PT can significantly reduce the secondary phase voltage, leading to voltage imbalances and generating fundamental zero-sequence voltage. This situation is analogous to a stator winding ground fault, often resulting in incorrect protective operations. To prevent such malfunctions, this paper analyzes the causes of false tripping through simulation and proposes a fault diagnosis model based on the Circular Sparrow Search Algorithm (CSSA)-optimized Gaussian Mixture Model (GMM), referred to as the CSSA-GMM model. A fault simulation model was established using Simulink to verify the differences between turn-to-turn short circuits and stator ground faults, and their electrical characteristics were studied. The results indicate that under different fault types, parameters such as the three-phase primary current and three-phase secondary voltage exhibit varying relationships and fault variations. By optimizing the GMM parameters using CSSA and comprehensively analyzing the voltage and current characteristics, this model can effectively diagnose turn-to-turn short circuit faults at various short-turn ratios, achieving an accuracy rate of up to 98%. This approach clearly distinguishes PT turn-to-turn short circuits from generator outlet stator ground faults, providing new insights for fault recognition and supporting the intelligent development of relay protection systems.

show abstract

Turn-to-Turn Fault Diagnosis on Three-Phase Power Transformer Using Hybrid Detection Algorithm

Cited by 4 publications

References 21 publications

Improvement of power transformer differential protection through detection and exploitation of the negative sequence currents

Improvement of power transformer differential protection through detection and exploitation of the negative sequence currents

Negative-sequence current integral method for detection of turn-to-turn faults between two parallel conductors in power transformers

Analysis of primary side turn-to-turn short circuit fault in PT at the generator outlet and diagnosis using CSSA-GMM

Contact Info

Product

Resources

About