Modeling and simulation of novel dynamic control strategy for PV–wind hybrid power system using FGS−PID and RBFNSM methods

During the past years, hybrid solar-wind power systems containing photovoltaic (PV) and wind generators are used to minimize the intermittency problem of renewable power generation units. The improved modeling and control schemes for a grid-tied hybrid PV–wind system is presented in the current research work. The maximum power point tracking namely “MPPT” algorithm together with controlling the pitch angle are used, respectively, for the PV system and wind power generation to attain the maximum power for any given external weather conditions. A radial basis function network sliding mode known as the RBFNSM method is used to control the pitch angle in the wind energy system, while the PV system uses a proportional–integral–derivative controller equipped with the fuzzy gain scheduling in order to enhance the transient state and mitigate the settling time to ensure the stability of the mentioned system. To test the suggested control scheme’s effectiveness, MATLAB simulations are carried out under various scenarios of the wind speed as well as solar irradiation. The obtained results show the efficiency of the adaptive MPPT method to harness the highest power under very challenging scenarios. The merits of the developed schemes are quickly and precisely tracking the maximum power output of the hybrid PV–wind system. Besides, the power flowing between the utility grid and the hybrid source with a fast transient response and improved stability performance is effectively controlled using the offered schemes.