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Futuristic trends in numerical relay...

Patel, Ujjaval.

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Futuristic trends in numerical relaying for transmission line protections

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Futuristic trends in numerical relaying for transmission line protections/ by Ujjaval Patel, Praghnesh Bhatt, Nilesh Chothani.
作者:	Patel, Ujjaval.
其他作者:	Bhatt, Praghnesh.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xxi, 146 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Electric lines. -
電子資源:	https://doi.org/10.1007/978-981-15-8465-7
ISBN:	9789811584657

Futuristic trends in numerical relaying for transmission line protections
Patel, Ujjaval.

Futuristic trends in numerical relaying for transmission line protections[electronic resource] /by Ujjaval Patel, Praghnesh Bhatt, Nilesh Chothani. - Singapore :Springer Singapore :2021. - xxi, 146 p. :ill. (some col.), digital ;24 cm. - Energy systems in electrical engineering,2199-8582. - Energy systems in electrical engineering..

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.

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.

ISBN: 9789811584657

Standard No.: 10.1007/978-981-15-8465-7doiSubjects--Topical Terms:

649360
Electric lines.

LC Class. No.: TK3226 / .P37 2021

Dewey Class. No.: 621.319

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520 $a 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.
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