Publication

Abstract : In wind turbine the optimization techniques are implemented to maximize the instantaneous power output and minimizing the structural fatigue loading. The maximum power output at an operating point is attained by increasing the lift coefficient which in-turn increase the fatigue stress on turbine components. Therefore, a regressive optimal point tracking controller has to be designed to identify the instantaneous optimal point of convergence. The typical feedback controller strives to maintains the instantaneous maximum power output without considering the fatigue loading parameters. In the same manner, the fatigue load mitigation techniques will not consider the power compromises. This work proposes a Pseudo Adaptive Model Predictive Controller (PA-MPC) which efficiently handles both the instantaneous generator power control and induced fatigue load mitigation of wind turbine. The proposed Pseudo Adaptive Model Predictive Controller framework can solve the bi-objective cost function online and ensures the optimal operation of the turbine. The objective of proposed control methodology is to improve the power output by 10% and reduce the fatigue load component by 48%. The expected response from the turbines using the proposed controller would improve the operating lifetime of the turbine by 2.5 years (12.5% of overall lifetime).