Coordinated neural adaptive active power control of wind turbines considering pitch system load reduction

Active power control (APC) is an effective way to address the instability problem caused by high wind energy penetration in power systems. This study presents a coordinated APC scheme to reduce the pitch system's loads while ensuring accurate active power tracking performance. Firstly, a pitch activation limitation parameter updated by wind speed is designed to expand the rotor speed regulation range. Subsequently, a neural network (NN)-based controller with a segmented weight updating mechanism is designed to achieve smooth and stable pitch angle variations, effectively reducing the pitch system's loads. Furthermore, we develop a robust differentiator to estimate derivatives of the rotor speed and wind speed thereby avoiding the use of additional sensors. Finally, simulations on the OpenFAST platform demonstrate the effectiveness of our method.