but existing active wake control has the risk of causing additional mechanical loads on wind turbines. To solve this problem
this paper combines the whale optimization algorithm and adaptive model predictive control
and proposes a two-layer control scheme of active wake and load of the unit in which the wind-farm level changes the wake direction through active wake control
and the unit level uses the two-degree-of-freedom control of pitch angle and torque under the premise of designated yaw angle to complete power increase and load suppression. Considering the complexity of two-degree-of-freedom control under turbine yaw conditions
a fuzzy inference mechanism is designed to realize the adaptive parameter adjustment of model predictive control according to the operating modes and environmental changes. The simulation results show that compared with the traditional single-turbine maximum power point tracking control scheme
the proposed scheme can increase the output level of the wind farm by 5.03%-7.87% in a large wind speed range
and realize load suppression of the unit tower and main shaft witnin the wind farm.
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references
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