Editorial
A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
@ARTICLE{10.4108/ew.4942, author={Pavithra C and Dhayalan R and Anandha Kumar S and Dharshan Y and Haridharan R and Vijayadharshini M}, title={A Novel Comparative Analysis of Solar P\&O, ANN-based MPPT Controller under Different Irradiance Condition}, journal={EAI Endorsed Transactions on Energy Web}, volume={11}, number={1}, publisher={EAI}, journal_a={EW}, year={2024}, month={1}, keywords={PV system, P\&O, ANN, MPPT}, doi={10.4108/ew.4942} }- Pavithra C
Dhayalan R
Anandha Kumar S
Dharshan Y
Haridharan R
Vijayadharshini M
Year: 2024
A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition
EW
EAI
DOI: 10.4108/ew.4942
Abstract
The depletion of fossil fuels and rising energy demand have increased the use of renewable energy. Among all Solar PVs, system-based electricity production is increased due to multiple advantages. In this paper a Solar PV system with an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) controller is developed. ANN has multiple advantages like stability, improved dynamic response, and fast and precise output. The System is modelled with a DC-DC boost converter with Perturb and Observe (P&O)-based MPPT controller which is operated in MATLAB-based Simulink model. Both the controller output is analyzed and compared, among these two controllers ANN has very fast and more precise output under dynamic conditions.
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