Spectral Discretization-Based Eigen-Analysis of Time-Delay Systems | Numerical Methods and Scalable Applications

Hua Ye (u. a.)

ISBN 10: 981960737X / ISBN 13: 9789819607372

Published by Springer, 2025

About this Item

Spectral Discretization-Based Eigen-Analysis of Time-Delay Systems | Numerical Methods and Scalable Applications | Hua Ye (u. a.) | Buch | xvi | Englisch | 2025 | Springer | EAN 9789819607372 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 133619622

Bibliographic Details

• Title: Spectral Discretization-Based Eigen-Analysis of Time-Delay Systems | Numerical Methods and Scalable Applications
• Publisher: Springer
• Publication Date: 2025
• Language: English
• ISBN 10: 981960737X
• ISBN 13: 9789819607372
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 16D millimeters 241 millimeters width by 160 millimeters height by 16 millimeters depth
• Weight: 451 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book focuses on the partial spectral discretization (PSD)-based eigenvalue computation methods for large-scale time-delay systems. Due to past-dependence in the evolution of a system, time delays may greatly affect the system’s dynamics. For example, wide-area damping controllers in the interconnected power systems are fed by remote synchrophasor measurements and thus inevitably introduce time delays into the control loop. These delays ranging from tens to hundreds of milliseconds can deteriorate the performance of the controllers and further jeopardize the power system stability. Therefore, this book addresses two classes of efficient eigenvalue computation methods for time-delay systems based on the PSD idea, as well as their applications to power systems with inclusion of time delays. The methods are expected to obtain the accurate stability boundary of time-delay systems with affordable computational burden.

This book would appeal to engineers, researchers and graduate students in power and control engineering, as well as computational and applied mathematicians.

About the Author

Hua Ye is a professor with the School of Electrical Engineering, Shandong University, China. His research interests include power system stability analysis and control, cyber-physical systems, and MTDC grid. 

Yutian Liu is a professor with the School of Electrical Engineering, Shandong University, Jinan, China. His research interests include power system analysis and control, renewable energy integration, and artificial intelligence application to power system. 

Xiaofan Jia is currently working toward the Ph.D. degree with the School of Electrical Engineering, Shandong University, Jinan, China. Her research interests include power system stability analysis and control.