Wind turbine control systems serve as the central intelligence of each turbine, managing functions such as blade pitch, yaw adjustments, energy conversion, and fault detection. . This study develops a robust nonlinear control, using an integral sliding mode control (ISMC) associated to an artificial neural network (ANN) approach for a variable-speed wind turbine (VSWT). At below rated speed of wind, the control aims to extract the maximum energy from the wind by the WT as. . This evolution calls for next-generation wind turbine control systems—a fusion of intelligent automation, digitalization, and adaptive control technologies.
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This article aims to evaluate the optimal configuration of a hybrid plant through the total variation complementarity index and the capacity factor, determining the best amounts of each source to be installed. . The intermittent nature of wind and solar sources poses a complex challenge to grid operators in forecasting electrical energy production. Numerous studies have shown that the combination of sources with complementary characteristics could make a significant contribution to mitigating the. . A wind-solar hybrid system combines wind turbines and solar PV modules into a single, integrated energy solution. These systems can operate on-grid or off-grid, and they're particularly effective in locations with variable weather conditions. When the sun is not shining, the wind may still blow—and. .
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