Protection Scheme using Wavelet-Alienation-Neural Technique for UPFC Compensated Transmission Line

نویسندگان

چکیده

Fault analysis (detection, classification and location) of transmission network is great importance in power system. A Wavelet-Alienation-Neural (WAN) technique has been developed for the fault Unified Power Flow Controller (UPFC) compensated network. The detection various outages are accomplished by alienation wavelet based approximate coefficients computed from current signals. precise location faults carried out an Artificial Neural Network fed estimated voltage signals same quarter cycle. robustness algorithm proved with case studies varying locations, sampling frequency, system parameters, effects noise, incipient angle, different control strategies path impedances.

برای دانلود رایگان 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

Current Directional Protection of Series Compensated Line Using Intelligent Classifier

Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses ...

متن کامل

Distance Protection of Compensated Transmission Line Using Computational Intelligence

A new approach for protection of transmission line including TCSC is presented in this paper. The proposed method includes application of Fuzzy Neural Network for distance relaying of a transmission line operating with a thyristor controlled series capacitor (TCSC) protected by MOVs. Here the fuzzy neural network (FNN) is used for calculating fault location on the TCSC line. The FNN structure i...

متن کامل

A Hybrid Wavelet-ANN-Based Protection Scheme for FACTS Compensated Transmission Lines

This paper proposes an approach for the protection of transmission lines with FACTS based on Artificial Neural Networks (ANN) using Wavelet Transform (WT). The required features for the proposed algorithm are extracted from the measured transient current and voltage waveforms using discrete wavelet transform (DWT). Those features are employed for fault detection and faulted phase selection usin...

متن کامل

Accurate Fault Classification of Transmission Line Using Wavelet Transform and Probabilistic Neural Network

Fault classification in distance protection of transmission lines, with considering the wide variation in the fault operating conditions, has been very challenging task. This paper presents a probabilistic neural network (PNN) and new feature selection technique for fault classification in transmission lines. Initially, wavelet transform is used for feature extraction from half cycle of post-fa...

متن کامل

Adaptive ground distance protection for UPFC compensated transmission lines: A formulation considering the fault resistance effect

This paper presents a mathematical deterministic adaptive distance protection formulation for UPFC compensated transmission lines. The proposed formulation is developed using a phase component approach and considers and compensates for various UPFC operation conditions and non-zero fault resistances. The proposed methodology is completely adaptive and independent of system characteristics (such...

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: IEEE Access

سال: 2021

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2021.3052315