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利用比率差动保护和尺度相关固有熵改进降压变压器的保护

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

作者信息

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

机构信息

Department of Electrical Engineering, Zhaoqing University, Zhaoqing 526061, China.

School of Computer Science and Software, Zhaoqing University, Zhaoqing 526061, China.

出版信息

Entropy (Basel). 2025 Apr 20;27(4):444. doi: 10.3390/e27040444.

DOI:10.3390/e27040444
PMID:40282679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12025872/
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.

摘要

变压器运行容易受到内部和外部故障的影响。本研究主要采用软件构建一个具有降压变压器的电力系统仿真模型。该仿真模型由三台单相变压器组成,次级线圈有十个抽头位置,用于分析内部故障。此外,还考虑了电力变压器与负载之间的十个故障位置进行外部故障分析。保护方案包括对电力变压器和输电线路的百分比差动保护,旨在探索故障特征。为了减轻保护装置的灵敏度问题,采用了尺度相关固有熵方法作为决策支持系统,以尽量减少电力系统保护误动作。通过全面的故障分析,结果表明了该辅助方法的有效性和实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/12816b3a935b/entropy-27-00444-g014.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/12816b3a935b/entropy-27-00444-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/910359eb983a/entropy-27-00444-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/4e3ac1a5889b/entropy-27-00444-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/8669d6789855/entropy-27-00444-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/d919913de8ad/entropy-27-00444-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/0a1035ae6cf3/entropy-27-00444-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/802db5f61c4a/entropy-27-00444-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/dfb102ea9c88/entropy-27-00444-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/82855dbbb899/entropy-27-00444-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/bba147ceb022/entropy-27-00444-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/6cf1a8f2c193/entropy-27-00444-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/ae24348cdf1c/entropy-27-00444-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d10/12025872/12816b3a935b/entropy-27-00444-g014.jpg

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本文引用的文献

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