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


  • 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




PV system, P&O, ANN, MPPT


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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How to Cite

C P, R D, S AK, Y D, R H, M V. A Novel Comparative Analysis of Solar P&O, ANN-based MPPT Controller under Different Irradiance Condition. EAI Endorsed Trans Energy Web [Internet]. 2024 Jan. 26 [cited 2024 Feb. 22];11. Available from: https://publications.eai.eu/index.php/ew/article/view/4942