A novel intelligent method to increase accuracy of hybrid photovoltaic-wind system-based MPPT and pitch angle controller

The main aim of this paper is the optimal power extraction based on an intelligent structure. It is implemented through fuzzy gain scheduling of PID (FGS-PID) controller in combination with the radial basis function network sliding mode (RBFNSM) for controlling a grid-connected hybrid generating system. A wind turbine (WT) based on the permanent magnet synchronous generator (PMSG) and a photovoltaic (PV) is considered for this study. FGS-PID controller equipped with scaling factors (SF) for the input signals of FGS are used to reach MPPT for the PV system. In order to regulate the member functions (MFs) of FGS, the fuzzy logic controller (FLC) and developed farmland fertility optimization (IFFO) algorithm are used. Moreover, the pitch angle control is applied for the WT. The pitch angle control of the WT is implemented by the RBFNSM to control the generated power and the speed at the nominal value. For protecting the wind turbine architecturally and escape catastrophic operation, this idea is implemented. MATLAB software is used to show the effectiveness of the proposed controller. The main advantages of the proposed method over other approaches are efficiency, fast and accurately tracking the highest generated power of the PV system.