Abstract

In this article, a hybrid Artificial Neural Network - Newton Raphson (ANN-NR) is introduced to mitigate the undesired lower-order harmonic content in the cascaded H-Bridge multilevel inverter for solar photovoltaic (PV). Harmonics are extracted by the excellent choice of opting switching angles by exploiting the Selective Harmonic Elimination (SHE) PWM technique accompanying a unified algorithm in order to optimize and reduce the Total Harmonic Distortion (THD). ANN is trained with optimum switching angles, and the estimates generated by the ANN are the initial guess for NR. In this study, the CHB-MLI is combined with a traditional boost converter, it boosts the PV voltage to a superior dc-link voltage Perturb and Observe (P&O) based Maximum Power Point Tracking (MPPT) algorithm is used for getting a stable output and efficient operation of solar PV. The proposed system is proved over an eleven-level H-bridge inverter, the work is carried out in MATLAB/Simulink environment, and the respective results are confirmed that the proposed technique is efficient, and offers an actual firing angles with a few iterations results in a better capability of confronting local optima values. The suggested algorithm is justified by the experimental development of eleven-level cascaded H-bridge inverter.

Highlights

  • In the recent past, most of the modernized industries have pioneered to offer higher power devices

  • Artificial neural network (ANN) is trained with optimum switching angles to have been calculated offline, and the estimates generated by the ANN the initial

  • By utilizing the FFT tool in MATLAB/ Simulink, the results of the harmonic analysis are presented in Fig 11, it represents that in the 11-level inverter the 5th, 7th, 11th, and 13th harmonics are removed from the output under the specific range of MI

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Summary

INTRODUCTION

Most of the modernized industries have pioneered to offer higher power devices. The work is framed as: the proposed solar PV based Cascaded H bridge MLI with DC-DC converter is enlightened, SHEPWM switching technique, the procedure of the Newton Raphson method, the architecture of ANN, and the proposed integrated algorithm are discussed, Simulation and prototype model of proposed topology are executed and the respective results are compared. It comprises cascaded H-Bridge MLI generates the eleven levels output AC voltage by switching IGBTs using a hybrid ANN-NR algorithm based SHE-PMW scheme, and the input is getting from solar PV followed by a three-level DC-DC boost converter This converter boosts both the respective voltage and MPPT

SOLAR PV POWERED BOOST CONVERTER
ARTIFICIAL NEURAL NETWORK
PROPOSED ANN-NR METHOD
RESULTS AND DISCUSSIONS
POWER LOSS AND EFFICIENCY
CONCLUSION
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