Interconnected Power Systems : Wide-Area Dynamic Monitoring and Control Applications

Yong Li

ISBN 10: 3662569434 / ISBN 13: 9783662569436

Published by Springer Berlin Heidelberg, 2018

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book reports on the latest findings in the application ofthe wide area measurement systems (WAMS) in the analysis and control of powersystems. The book collects new research ideas and achievements including adelay-dependent robust design method, a wide area robust coordination strategy,a hybrid assessment and choice method for wide area signals, a free-weightingmatrices method and its application, as well as the online identificationmethods for low-frequency oscillations. The main original research results ofthis book are a comprehensive summary of the authors' latest six-year study.The book will be of interest to academic researchers, R&D engineers andgraduate students in power systems who wish to learn the core principles,methods, algorithms, and applications of the WAMS.

Seller Inventory # 9783662569436

Bibliographic Details

• Title: Interconnected Power Systems : Wide-Area Dynamic Monitoring and Control Applications
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2018
• Language: English
• ISBN 10: 3662569434
• ISBN 13: 9783662569436
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

This book reports on the latest findings in the application of the wide area measurement systems (WAMS) in the analysis and control of power systems. The book collects new research ideas and achievements including a delay-dependent robust design method, a wide area robust coordination strategy, a hybrid assessment and choice method for wide area signals, a free-weighting matrices method and its application, as well as the online identification methods for low-frequency oscillations. The main original research results of this book are a comprehensive summary of the authors’ latest six-year study. The book will be of interest to academic researchers, R&D engineers and graduate students in power systems who wish to learn the core principles, methods, algorithms, and applications of the WAMS.