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

ISBN-13: 9783662486252 / Angielski / Twarda / 2016 / 223 str.

Yong Li; Dechang Yang; Fang Liu

Opis

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.

Spis treści

Introduction.- Theoretical Foundation of Low Frequency Oscillations.- Oscillatory Parameters Computation based on Improved HHT.- Oscillation Model Identification based on Nonlinear Hybrid Method (NHM).- Identification of Dominant Complex Orthogonal Mode (COM).- Basic Framework and Operating Principle of Wide Area Damping   Control.- Coordinated Design of Local PSSs and Wide Area Damping Controller.- Robust Coordination of HVDC and FACTS Wide Area Damping Controllers.- Assessment and Choice of Input Signals for Multiple Wide Area Damping Controllers.- Free-Weighting Matrix Method for Delay Compensation of Wide Area Signals.- Design and Implementation of Delay-Dependent Wide-Area Damping Control for Stability Enhancement of Power Systems.- Design and Implementation of Parallel Processing in Embedded PDC Application for FACTS Wide-Area Damping Control.

Blurb

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.