Small-Signal Stability Analysis of Power Systems Integrated with Variable Speed Wind Generators, Softcover reprint of the original 1st ed. 2018

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.

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