Current Control using Artifical Neural Network for SPV Grid Connected System

This paper introduces another strong innovation for current control system in view of Artificial Neural system (ANN). Advancement of sustainable power source intently take after with vulnerability. Execution of state space vector balance can improve the execution of inverter for network interconnection. This paper demonstrates the execution of SPWM technique for under regulation and over regulation for duty cycle of static switch. Singular preparing technique have been embraced for preparing of every hub of the neural system. MATLAB based Simulink strategy has been received to approve the rationale and design. ANN instrument base has been embraced for preparing reason. Citation: Ritesh Dash, Dr. S. M. Ali, Dr. K. K. Rout. "Current Control using Artifical Neural Network for SPV Grid Connected System." Global Research and Development Journal For Engineering [RUCTD2018], ISTE Gujarat Section and Madhya Pradesh Section Sardar Patel University, Gujarat, (November 2018) : pp. 81 - 87.