Resilient control design for wind turbines using Markov jump linear system model with lévy noise

Wind turbines can fail during the operation due to various types of faults. Thus, one of the key problems in wind energy systems is the resilient control to achieve their high reliability. To reach this goal, we first model the wind turbine as a Markov jump linear system based on its operating conditions, and then design a resilient controller that can stabilize the system by incorporating faults into the wind turbine model. Moreover, wind disturbance is modeled as a Levy noise which can capture the nature of wind better than the traditional Gaussian white noise. We use cases studies to corroborate the effectiveness of the designed switching controller, and its enhancement to the resiliency of the wind energy system.