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.
[PDF Version]
Advances in solid-state, sodium-ion, and flow batteries promise higher energy densities, faster charging, and longer lifespans, enabling electric vehicles to travel farther, microgrids to operate efficiently, and renewable energy to integrate seamlessly into the grid. . The Breaking It Down series aims to inform and inspire people by putting advanced manufacturing technologies and processes into simpler terms. With electric vehicles (EVs) that get us places, cell phones that connect us to others, and utility-scale electric grid storage that powers our homes. . Energy storage beyond lithium ion is rapidly transforming how we store and deliver power in the modern world. Battery storage is the fastest responding dispatchable. .
[PDF Version]
