Harmonic Analysis of High-Impedance Fault Experimental Current Waveforms Using Fast Fourier Transform

نویسندگان

چکیده

High impedance faults (HIFs) detection in overhead distribution networks have been a major challenge for utility engineers long time. The current flowing to ground path is so low that conventional protection does not detect HIFs. problem becomes more critical when HIFs occur rural feeders with many single-wire earth return networks, since the neutral usually set above normal unbalance of circuit avoid its undue actuation, limiting sensitivity this single phase-to-ground faults. Methods based on harmonic content analysis HIF stand out their simplicity, practicality, and ease implementation. However, such methods do present reliability issues, indices thresholds need be well adjusted, reconciling dependability security function. This paper presents study components waveforms, obtained through experimental tests 13,8 kV network, using Fast Fourier Transform. analyzed waveforms recorded SEL-751 relay 74 FAI events.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Detection of high impedance faults in distribution networks using Discrete Fourier Transform

In this paper, a new method for extracting dynamic properties for High Impedance Fault (HIF) detection using discrete Fourier transform (DFT) is proposed. Unlike conventional methods that use features extracted from data windows after fault to detect high impedance fault, in the proposed method, using the disturbance detection algorithm in the network, the normalized changes of the selected fea...

متن کامل

Bearing Fault Detection in Induction Motor Using Fast Fourier Transform

ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...

متن کامل

High Performance Sparse Fast Fourier Transform

The Sparse Fast Fourier Transform is a recent algorithm developed by Hassanieh et al. at MIT for Discrete Fourier Transforms on signals with a sparse frequency domain. A reference implementation of the algorithm exists and proves that the Sparse Fast Fourier Transform can be faster than modern FFT libraries. However, the reference implementation does not take advantage of modern hardware featur...

متن کامل

Fingerprint classification using fast Fourier transform and nonlinear discriminant analysis

In this paper, we present a new approach for fingerprint classification based on Discrete Fourier Transform (DFT) and nonlinear discriminant analysis. Utilizing the Discrete Fourier Transform and directional filters, a reliable and efficient directional image is constructed from each fingerprint image, and then nonlinear discriminant analysis is applied to the constructed directional images, re...

متن کامل

High impedance fault detection: Discrete wavelet transform and fuzzy function approximation

This paper presets a method including a combination of the wavelet transform and fuzzy function approximation (FFA) for high impedance fault (HIF) detection in distribution electricity network. Discrete wavelet transform (DWT) has been used in this paper as a tool for signal analysis. With studying different types of mother signals, detail types and feeder signal, the best case is selected. The...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Anais do VI Simpósio Brasileiro de Sistemas Elétricos

سال: 2022

ISSN: ['2177-6164']

DOI: https://doi.org/10.20906/sbse.v2i1.3140