1.

Record Nr.

UNINA9910484980103321

Autore

Patel Ujjaval

Titolo

Futuristic trends in numerical relaying for transmission line protections / / Ujjaval Patel, Praghnesh Bhatt, Nilesh Chothani

Pubbl/distr/stampa

Singapore : , : Springer, , [2021]

©2021

ISBN

981-15-8465-6

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XXI, 146 p. 60 illus., 48 illus. in color.)

Collana

Energy Systems in Electrical Engineering, , 2199-8582

Disciplina

343.730967

Soggetti

Electronic circuits

Electrical engineering

Communications Engineering, Networks

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Chapter 1: Transmission Line Protection Philosophy -- Chapter 2: Transmission Line Protection: Issues & Research Needs -- Chapter 3: Adaptive Numerical Distance Relaying Scheme -- Chapter 4: Discrimination Between Power Swing and Line Fault Based on Voltage and Reactive Power Sensitivity -- Chapter 5: Sequence-space Aided Disturbance Classifier Scheme Based on Support Vector Machine -- Chapter 6: Auto-reclosure Scheme with Adaptive Dead Time Control Based on Synchro-check Principle -- Chapter 7: Summary.

Sommario/riassunto

This book presents the state-of-the-art approach for transmission line protection schemes for smart power grid. It provides a comprehensive solution for real-time development of numerical relaying schemes for future power grids which can minimize cascade tripping and widespread blackout problems prevailing all around the world. The book also includes the traditional approach for transmission line protection along with issues and challenges in protection philosophy. It highlights the issues for sheltering power grid from unwanted hazards with very fundamental approach. The book follows a step-by-step approach for resolving critical issues like high impedance faults, power swing detection and auto-reclosing schemes with adaptive protection process. The book also covers the topic of hardware solution for real-



time implementation of auto-reclosing scheme for transmission line protection schemes along with comparative analysis with the recently developed analytical approach such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and other machine learning algorithms. It will be useful to researchers and industry professionals and students in the fields of power system protection.