Monika Blackman, Rahul Sharma, Mithulan Nadarajah, and Germane Athanasius
Model-based control, individual pitch control, loading reduction
As wind turbine size increases, small increases in eﬃciency can lead to signiﬁcant monetary and lifespan improvements. As utility scale wind turbines approach structural eﬃciency limits, control systems have become the primary means of improving power eﬃciency and reducing fatigue. In variable speed turbines, collective or individual blade pitch control is one of the most common control schemes for above-rated speed operation. This paper presents the design and implementation of a model-based controller for jointly controlling the wind turbines power and blade loading reduction. First, a high-ﬁdelity simulation model of a 3 MW wind turbine is developed followed by the control development using a computationally
eﬃcient version of model predictive control which beneﬁts from short-term wind speed forecasts. The proposed controller is comprehensively tested under multiple practical scenarios and compared with conventional wind turbine control methods.