Optimized Active Damping Control for Variable Speed Wind Turbines Drive Train Using PID-State Control

Grid codes require active power and frequency management, as well as inertia support from wind turbines connected to the grid. However, supplemental frequency regulation may result in torsional vibrations in the wind turbine drive train. Thus, this work offers an improved active damping control for variable-speed wind turbine drive trains based on PID-state control. The PID-state control is utilised to optimally damped torsional vibration while requiring minimal control effort. In addition, a state torque estimator with disturbance minimization is used to reduce persistent disturbances. Two simulation scenarios are studied by comparing the process with and without a dampening factor. Furthermore, fixed and varying wind speeds are considered while evaluating the method’s performance.

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Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905841
Primary Topic
Wind Turbine Control Systems
Type
article
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article

Optimized Active Damping Control for Variable Speed Wind Turbines Drive Train Using PID-State Control

Constantinos Sourkounis, Abubakar Isa
Wind Turbine Control Systems
article

Optimized Active Damping Control for Variable Speed Wind Turbines Drive Train Using PID-State Control

Constantinos Sourkounis, Abubakar Isa
article en

Abstract

Grid codes require active power and frequency management, as well as inertia support from wind turbines connected to the grid. However, supplemental frequency regulation may result in torsional vibrations in the wind turbine drive train. Thus, this work offers an improved active damping control for variable-speed wind turbine drive trains based on PID-state control. The PID-state control is utilised to optimally damped torsional vibration while requiring minimal control effort. In addition, a state torque estimator with disturbance minimization is used to reduce persistent disturbances. Two simulation scenarios are studied by comparing the process with and without a dampening factor. Furthermore, fixed and varying wind speeds are considered while evaluating the method’s performance.

Ruhr University Bochum (DE)
Affordable and clean energy
Openalex Percentile: Top 74%
Wind Turbine Control Systems
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