Neural Network MPPT control for Grid-Connected PV System

International Journal of Innovative Research in Technology

IJIRTEXPLORE- Search Thousands of research papers

ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Neural Network MPPT control for Grid-Connected PV System
Author(s):
Prakash Prajapat, Usha Sharma, Suresh Meghwal
Keywords:
MPPT, ANN, Artificial intelligence, Solar Photovoltaic, P&O
Abstract
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

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

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org