Wind and Structures
Volume 42, Number 5, 2026, pages 573-593
DOI: 10.12989/was.2026.42.5.573
Impact estimation of electrical disturbance onto turbine structural behavior of wind power system
Vikas Bhalla , Ganesh P. Prajapat
Abstract
A wind power generation system consists electrical, mechanical, aerodynamics and structural dynamics in
its model. However, the most of the reported system dynamic models include either electrical and mechanical
dynamics or structural and aerodynamics. This may sometimes lead to imperfect analysis when someone is observing
impact of the electrical disturbance onto the structural dynamics. Therefore, this paper presents the complete model of
the wind power system considering aerodynamics and structural dynamics of the blade along with the electrical and
mechanical power balance. Also, the detection of the blade vibration using electrical measurements have been
performed through a nonlinear estimator, named Unscented Kalman Filter (UKF) which may further helps to design
a controller without additional sensors. The estimation of the impact of the electrical disturbance onto the blade
vibrations provide insights into the early detection and observation of the blade vibrations. It was observed that a
frequency of edgewise vibrations of the blades of 1.159 Hz other than the fundamental frequency corresponding to the
speed of the rotation of the wind turbine, is introduced when the system subjected to an electrical disturbance and it
should be taken care of during the control design. Further, the UKF estimates these vibrations perfectly, closely
matching with the actual frequency with an estimation error of only 0.35%. The structural model is prepared using
Euler–Lagrangian method (ELM) while Blade Element Momentum method (BEMM) is used for aerodynamic power
and forces. The structural and blade geometry data of NREL’s 5-MW wind turbine have been used for the simulation
while the structural model of the wind turbine have been validated using NREL’s tool FAST.
Key Words
DFIG; blade element momentum method; blade vibrations; Euler–Lagrangian approach; nonlinear estimation
Address
- Vikas Bhalla — Department of Electrical Engineering, Engineering College, Bikaner, Rajasthan -334004, India
- Ganesh P. Prajapat — Department of Electrical Engineering, Engineering College, Bikaner, Rajasthan -334004, India
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