A New Approach for the Transformer Differential Protection Based on S-Transform and Fuzzy Expert System

Hasheminejad, Saeid

doi:10.22055/jaree.2021.38432.1035

Document Type : Research article

Author

Saeid Hasheminejad

Department of Power and Control Engineering, Faculty of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 7631885356, Iran

https://doi.org/10.22055/jaree.2021.38432.1035

Abstract

This paper presents a novel method to discriminate between the magnetizing inrush and external and internal fault currents in power transformers. Fault type identification and faulted phase selection are also possible by the proposed algorithm. The proposed method has two main parts. First, by means of S-transform, which is the most accurate method in the field of signal processing, some useful features are extracted from the input signal. Then, the extracted features are converted to some numerical indices. In the second part, an effective decision maker is needed to classify the input signal. One of the best methods, which have been used for decision-making applications is fuzzy logic. So, the numerical indices are used as inputs for the fuzzy system. The output of the fuzzy system not only can reveal whether the input signal is the magnetizing inrush, external or internal fault, but it can also identify the fault type when there is an internal fault. Finally, the faulted phases can be identified with a supplemental algorithm. To generate the test signals, a three-phase transformer is modeled in PSCAD/EMTDC. Testing the proposed algorithm by different simulated data shows the robustness of the proposed method in the transformer differential protection.

Highlights

Using both high-frequency and fundamental frequency information of the signal
Proposing a new algorithm for fault type classification and faulted phase selection
Discriminating the external faults from other events
Using the S-transform for feature extraction
Using a fuzzy system for signal classification

Keywords

Main Subjects

References

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