Amelioration of decisive Neural Network Technique in PV-Wind Hybrid Technology along ingenious DVR system

Abstract

The emerging trends in technology lead us to make our system more planned and reliable. The development in the evergreen renewable energy makes our system more optimistic and proficient in handling every type of circumstances. The PV-Wind is one of the obligatory demand of the world as for making the system more sustainably developed. In this paper, we have proposed a Neural Network technique in MPPT of PV system for improving the output results of the system. One of the Neural Network technique, the Model Reference Controller is used for more simplifying the system's generation. Besides, NARMA-L2 Neural Network Controller with the PI controller is also employed to generate valuable results for controlling the pitch angle of PMSG based Wind Turbine to decipher and elucidate the outcome. Further for making the system smoother operative, we have realized Dynamic Voltage Restorer with Fuzzy Logic Controller for maintaining a constant output power for a pertinent and puissant system. The results are oriented from MATLAB/Simulink are justified with simulations performance.