The performance of the controllers has been tested for both the lower as well as higher level of penetration of the DFIG wind farm, which are illustrated in Figs. 7 and 8, respectively.
The performances of the controller have been evaluated by simulation and the results show that it provides good regulation and tracking performances.
The performance of this controller has been evaluated by using the original nonlinear models under load-following conditions.
The performance of this controller has been studied and compared to the PI controller.
The performance of this controller has been successfully validated with good tracking results under different operating conditions.
At the end, the performance of the designed controller has been compared with three of the prevalent papers results to determine the performance of sliding mode control integrated with integral switching surface.
The performance of the proposed controller has been compared with the performance of fuzzy logic controller, Neuro-fuzzy controller and conventional controller with the help of data collected from the plant.
Results of feedback response analysis show that the controller has good performance.
Also, the performance of the proposed controller has been tested under the condition of the parameter uncertainty and improved performance has been revealed.
