Neural Network MPPT control for Grid-Connected PV System
Prakash Prajapat, Usha Sharma, Suresh Meghwal
MPPT, ANN, Artificial intelligence, Solar Photovoltaic, P&O
In this paper, the neural network (NN) based maximum power point tracking (MPPT) controller is presented for grid connected PV system. The grid connected PV system has its advantage of as it does not require storage system and provide efficient power utilization. The proposed system consists of PV array made from the combination of series parallel connected PV modules, boost converter on which MPPT is incorporated, three-phase voltage source inverter and the grid. Complete system is modeled and simulated using MATLAB/ Simulink and NN is trained using the neural network toolbox. To validate the performance of the proposed MPPT controller, comparative study is performed with conventional P&O MPPT controller. The study reveals that the proposed NN based MPPT controller shows better performance and produce satisfactory results.
Article Details
Unique Paper ID: 150436

Publication Volume & Issue: Volume 7, Issue 6

Page(s): 88 - 93
Article Preview & Download

Share This Article

Conference Alert


International conference on Management, Science, Technology, Engineering, Pharmact and Humanities.

Go To Issue

Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on

Social Media

Google Verified Reviews

Contact Details