ANN Fed High Gain Luo Converter based Reduced Switch Multilevel Inverter for Single Phase Network Bridged PV Arrangement

Abstract

In the present scenario photovoltaic (PV) systems feature resonant interest in the recent researches. The amount from the PV frame is highly oscillated due to temperature variation. In this proposed work, the ANN based MPPT algorithm extracts maximum energy from the PV system by benefit of high gain DC-DC Luo converter, the Luo converter produced voltage is given to the single phase grid through reduced switch seven level inverter. The proposed seven level inverter is controlled by high frequency technique multicarrier modulation technique. The PI controller based closed loop grid synchronization is implemented for solving the power quality issues. The multilevel inverter reduce the total harmonics distortion in the output AC voltage waveform. The developed work is carried out using Matlab software-based simulation with various solar irradiation and degree. Keywords: Artificial Neural Network

Waveform Parameter Evaluation of Lightning Impulse Voltage Based on Neural Network Method

“…In the proposed method, a feed-forward multilayer artificial neural network (ANN) (19)(20)(21) model was developed to correct the waveform parameters of the base waveform. A backpropagation learning algorithm was utilized in the training process and the construction of the ANN model.…”