Current control strategies for SPV grid interconnection based on artificial neural network

摘要

This paper presents a new robust technology for current control strategy based on artificial neural network (ANN). Development of renewable energy closely resemble with uncertainty. Implementation of state space vector modulation can enhance the performance of inverter for grid interconnection. This paper shows the implementation of SPWM method for under modulation and over modulation for duty cycle of static switch. Individual training method have been adopted for training of each node of the neural network. MATLAB based Simulink method has been adopted to validated the logic and architecture. ANN tool base has been adopted for training purpose.