Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults...

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Nabamita Banerjee Roy Kesab Bhattacharya

Application of Signal Processing Tools and Artificial Neural Network in Diagnosis of Power System Faults

Nabamita Banerjee Roy, Kesab Bhattacharya

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English

CRC Press
25 September 2023

Energy; Power generation & distribution; Electronics engineering; Communications engineering & telecommunications; Environmental science, engineering & technology

Accurate, fast, and reliable fault classification techniques are an important operational requirement in modern-day power transmission systems. Application of Signal Processing Tools and Neural Network in Diagnosis of Power System Faults examines power system faults and conventional techniques of fault analysis. The authors provide insight into artificial neural networks and their applications, with illustrations, for identifying power system faults. Wavelet transform and its application are discussed as well as an elaborate method of Stockwell transform.

The authors also employ probabilistic neural networks (PNN) and back propagation neural networks (BPNN) to identify the different types of faults and determine their corresponding locations, respectively. Both PNN and BPNN are presented in detail, and their applications are illustrated through simple programming in MATLAB®. Furthermore, their applications in fault diagnosis are discussed through multiple case studies.

FEATURES

Explores methods of fault identification through programming and simulation in MATLAB®

Examines signal processing tools and their applications with examples

Provides knowledge of artificial neural networks and their application with illustrations

Uses PNN and BPNN to identify the different types of faults and obtain their corresponding locations

Discusses the programming of signal processing using wavelet transform and Stockwell transform

This book is designed for engineering students and for practitioners. Readers will find methods of programming and simulation of any network in MATLAB® as well as ways to extract features from a signal waveform by using a suitable signal processing toolbox and by application of artificial neural networks.

By: Nabamita Banerjee Roy, Kesab Bhattacharya
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9781032043630
ISBN 10: 1032043636
Pages: 123
Publication Date: 25 September 2023
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

1. Power System Faults 2. Wavelet Transform 3. Stockwell Transform 4. Application of ST for Time Frequency Representations (TFRs) of Different Electrical Signals 5. Neural Network 6. Fault Analysis in Single-Circuit Transmission Line Using 7. Fault Analysis in an Unbalanced and a Multiterminal System Using ST and Neural Network 8. Application of ST for Fault Analysis in a HVDC System 9. Conclusion and Extension of Future Research Work

Dr. Nabamita Banerjee Roy is presently working as Associate Professor in Electrical Engineering Department of Narula Institute of Technology, Kolkata, India. Prof. Kesab Bhattacharya is presently a Professor and H.O.D of the Department of Electrical Engineering, JU.