International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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MPPT for Microgrid Connected PV System using ANN, InCond and P&O Techniques

Author(s) Mukul Singh, Omveer Singh, M. A. Ansari
Country India
Abstract The paper examines MPPT algorithms based on P&O, InCond, and ANN with a boost converter that supplies constant output to the load in a PV stand-alone system operating under varying irradiance conditions. To generate the duty cycle of a converter, the Perturb and Observe (P&O), Incremental Conductance (InCond), and Artificial Neural Network (ANN) algorithms are utilised. MATLAB and Simulink are used to conduct simulation research on the PV system. As the world approaches an alarming energy crisis, the demand for renewable energy sources increases daily. India is aiming to develop 20 GW of solar power by the year 2022. In a tropical nation like ours, solar energy is an essential source of energy. The principal issue with solar PV systems is their low efficiency and high initial investment. In this research paper, we discuss the various varieties of MPPT techniques in order to devise a method for obtaining the utmost possible output from a PV module and supplying it to the grid in order to increase the overall efficacy.
Keywords Perturb and Observe, Incremental Conductance, Photovoltaic System, Artificial Neural Network, MATLAB Simulink, Maximum Power Point Tracking
Field Engineering
Published In Volume 5, Issue 3, May-June 2023
Published On 2023-06-08
Cite This MPPT for Microgrid Connected PV System using ANN, InCond and P&O Techniques - Mukul Singh, Omveer Singh, M. A. Ansari - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.3500
DOI https://doi.org/10.36948/ijfmr.2023.v05i03.3500
Short DOI https://doi.org/gscdqw
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