Ye / Liu / Jia Spectral Discretization-Based Eigen-Analysis of Time-Delay Systems

Numerical Methods and Scalable Applications
1. Auflage 2025
ISBN: 978-981-960738-9
Verlag: Springer Singapore
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 171 Seiten

Reihe: Energy

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.

Zielgruppe

Research

Autoren/Hrsg.

Ye, Hua

Liu, Yutian

Jia, Xiaofan

Inhaltsverzeichnis

Introduction.- Small Signal Stability Analysis of Time Delay Systems.- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems.- PIGD PS Method.- PSOD PS Method.- Applications to Power Systems with Inclusion of Wide Area Delays.

Über Autor(innen)

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.