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Small-Signal Stability Analysis of Power Systems Integrated with Variable Speed Wind Generators de Wenjuan Du

Small-Signal Stability Analysis of Power Systems Integrated with Variable Speed Wind Generators

Autor Wenjuan Du, Haifeng Wang, Siqi Bu
en Limba Engleză Hardback – 13 sep 2018
This book reviews and examines how power system low-frequency power oscillations and sub-synchronous oscillations may be affected by grid connection of wind power generation. Grid connection of wind power generation affects the power system small-signal stability and has been one of the most actively pursued research subjects in power systems and power electronics engineering in the last ten years. This book is the first of its kind to cover the impact of wind power generation on power system low-frequency oscillations and sub-synchronous oscillations. It begins with a comprehensive overview of the subject and progresses to modeling of power systems and introduces the application of conventional methods, including damping torque analysis, modal analysis and frequency-domain analysis, presented with detailed examples, making it useful for researchers and engineers worldwide.
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Specificații

ISBN-13: 9783319941677
ISBN-10: 3319941674
Pagini: 387
Ilustrații: XII, 354 p. 215 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.69 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Linearized  Model of Power Transmission Systems with Large-Scale Wind Power Generation.- Damping Torque Analysis for Power Systems with the DFIG-Based Wind Farms.- Model Analysis of Small-Signal Angular Stability of a Power System Affected by Wind Generation.- Analysis of Power System  Sub-Synchronous Oscillations Caused by Grid Connection of Wind Power Generation.- Small-Signal Stability of Power Systems Integrated with VSC HVDC Line/MTDC Network for Wind Power Transmission.- Probabilistic Small-Signal Stability of Power Systems with Wind Power Generation.

Notă biografică

Prof. Wenjuan Du, Member of IET, Member of IEEE, North China Electric Power University (NCEPU), Beijing, China. She had worked in the UK from 2003 to 2013 before she took the appointment at the NCEPU as a full professor.  Prof. Du’s expertise is the modelling, analysis and control of power system stability. More recently she has worked on the network integration of renewable power generation, including wind and photovoltaic and high-voltage DC power transmission and systems. Prof. Wenjuan Du has published about 60 international journal papers, including the IEEE Transaction/IET proceedings papers, in addition to about 80 international conference papers. She also published three books on power system stability analysis and control.
Prof. Haifeng Wang is a Professor at the State Key Lab of Renewable Power Generation Power Systems, North China Electric Power University in Beijing, China. 
Siqi Bu received the Ph.D. degree from the electric power and energy research cluster, the Queen’s University of Belfast, Belfast, U.K., in 2012, where he continued his postdoctoral research work before entering industry. Subsequently, he joined National Grid UK as a Power System Engineer and then became an experienced UK National Transmission System Planner and Operator. He has received various prizes due to excellent performances and outstanding contributions in operational and commissioning projects. He is an Assistant Professor with Hong Kong Polytechnic University and also a Chartered Engineer with UK Engineering Council. His research interests are power system stability analysis and operation control, including wind power generation, PEV, HVDC, FACTS and ESS.

Caracteristici

Provides new options to solve the practical problems of power system small-signal instability brought about by grid connection of wind farms Introduces the application of conventional methods, including the damping torque analysis, modal analysis and frequency-domain analysis with examples presented in detail Presents new methods to examine the probabilistic small-signal angular stability of power systems affected by wind power generation