A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition

Pavithra C; Dhayalan R; Anandha Kumar S; Dharshan Y; Haridharan R; Vijayadharshini M

doi:10.4108/ew.4942

Authors

Pavithra C Sri Krishna College of Engineering and Technology
Dhayalan R Sri Krishna College of Engineering and Technology
Anandha Kumar S Sri Krishna College of Engineering and Technology
Dharshan Y Sri Krishna College of Engineering and Technology
Haridharan R Sri Krishna College of Engineering and Technology
Vijayadharshini M Sri Krishna College of Engineering and Technology

DOI:

https://doi.org/10.4108/ew.4942

Keywords:

PV system, P&O, ANN, MPPT

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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References

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