Setting-Less Differential Protection of Power Transformers Based on Wavelet Transform

IF 1.5 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iranian Journal of Science and Technology-Transactions of Electrical Engineering Pub Date : 2024-09-13 DOI:10.1007/s40998-024-00752-8

M. Bakhshipour, F. Namdari, B. Rezaeealam, M. Sedaghat

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Abstract

This paper presents a novel algorithm for power transformer differential protection based on wavelet transform (WT) and introduces new indices to distinguish internal faults from normal operating conditions and the occurrence of the inrush current. The proposed setting-less algorithm has no limits on the structure, dimension, capacity, and core type of the transformer. For this purpose, six indices based on fault detection functions extracted from WT transform are presented. Then, weighting factors for the indices by using the least squares method are calculated. In order to validate the proposed method, the approach has been evaluated on four transformers with 2 kVA, 10 kVA, 400 kVA, and 125 MVA. The success rate of fault detection in 10 kVA, and 125 MVA transformers was 100% and in 2 kVA and 400 kVA transformers was 93.33% and 94.44%, respectively. Also, the proposed algorithm has a remarkable capability in fast fault detection to protect the power transformer.

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基于小波变换的电力变压器无设置差动保护

本文提出了一种基于小波变换（WT）的新型电力变压器差动保护算法，并引入了新的指标来区分内部故障与正常运行条件以及浪涌电流的发生。所提出的无设定算法对变压器的结构、尺寸、容量和铁芯类型没有限制。为此，提出了基于从 WT 变换中提取的故障检测函数的六个指数。然后，利用最小二乘法计算出这些指数的权重系数。为了验证所提出的方法，对四台变压器（2 千伏安、10 千伏安、400 千伏安和 125 兆伏安）进行了评估。10 千伏安和 125 兆伏安变压器的故障检测成功率为 100%，2 千伏安和 400 千伏安变压器的故障检测成功率分别为 93.33% 和 94.44%。此外，所提出的算法在快速检测故障以保护电力变压器方面具有显著的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Iranian Journal of Science and Technology-Transactions of Electrical Engineering ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

5.50

自引率

4.20%

发文量

审稿时长

>12 weeks

期刊介绍： Transactions of Electrical Engineering is to foster the growth of scientific research in all branches of electrical engineering and its related grounds and to provide a medium by means of which the fruits of these researches may be brought to the attentionof the world’s scientific communities. The journal has the focus on the frontier topics in the theoretical, mathematical, numerical, experimental and scientific developments in electrical engineering as well as applications of established techniques to new domains in various electical engineering disciplines such as: Bio electric, Bio mechanics, Bio instrument, Microwaves, Wave Propagation, Communication Theory, Channel Estimation, radar & sonar system, Signal Processing, image processing, Artificial Neural Networks, Data Mining and Machine Learning, Fuzzy Logic and Systems, Fuzzy Control, Optimal & Robust ControlNavigation & Estimation Theory, Power Electronics & Drives, Power Generation & Management The editors will welcome papers from all professors and researchers from universities, research centers, organizations, companies and industries from all over the world in the hope that this will advance the scientific standards of the journal and provide a channel of communication between Iranian Scholars and their colleague in other parts of the world.