Implementation supervisory controller for hybrid wind microgrid system using adaptive neural MIMO model
Implementation supervisory controller for hybrid wind microgrid system using adaptive neural MIMO model
This paper investigates a novel forward adaptive neural model which is applied for modeling and implementing the supervisory controller of the hybrid wind microgrid system. The nonlinear features of the hybrid wind microgrid system are thoroughly modeled based on the adaptive identification process using experimental input-output training data.