# Improving the Protection of Step-Down Transformers by Utilizing Percentage Differential Protection and Scale-Dependent Intrinsic Entropy

**Authors:** Chia-Wei Huang, Chih-Chiang Fang, Wei-Tai Hsu, Chih-Chung Yang, Li-Ting Zhou

PMC · DOI: 10.3390/e27040444 · Entropy · 2025-04-20

## TL;DR

This paper proposes a new method to improve transformer protection using differential protection and entropy analysis to reduce misoperations during faults.

## Contribution

A novel decision support system using scale-dependent intrinsic entropy is introduced to enhance transformer protection reliability.

## Key findings

- Percentage differential protection was effective in identifying fault characteristics in transformers.
- Scale-dependent intrinsic entropy reduced misoperations in power system protection devices.
- Simulation results confirmed the practicality of the proposed protection scheme.

## Abstract

Transformer operations are susceptible to both internal and external faults. This study primarily employed software to construct a power system simulation model featuring a step-down transformer. The simulation model comprised three single-phase transformers with ten tap positions at the secondary coil to analyze internal faults. Additionally, ten fault positions between the power transformer and the load were considered for external fault analysis. The protection scheme incorporated percentage differential protection for both the power transformer and the transmission line, aiming to explore fault characteristics. To mitigate the protection device’s sensitivity issues, the scale-dependent intrinsic entropy method was utilized as a decision support system to minimize power system protection misoperations. The results indicated the effectiveness and practicality of the auxiliary method through comprehensive failure analysis.

## Full-text entities

- **Diseases:** injury to (MESH:D014947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

26 references — full list in the complete paper: https://tomesphere.com/paper/PMC12025872/full.md

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Source: https://tomesphere.com/paper/PMC12025872