Solar photovoltaic MPPT analysis using PO-fuzzy logic controller and I-C fuzzy logic controller

In order to achieve optimal control of solar photovoltaic (SPV) systems, the purpose of this study is to investigate the design and implementation of a PO-fuzzy logic controller as well as an I-C fuzzy logic controller. The perturb and observe (P&O) method and the incremental conductance (I&C) approach are two strategies that are frequently utilised in the process of optimising the performance of solar photovoltaic systems in terms of power generation. The P&O and I&C controllers have been modified in order to increase the charging rate and capacity. These modifications have been made. A PO-fuzzy logic controller and an I-C fuzzy logic controller have been developed as a direct consequence of this scenario. Both of these procedures have been adjusted to go beyond the capabilities of the methods that are now in use in order to reduce the amount of voltage variance that occurs during the measurement of voltage.

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Publication Details

Published
2024-08-10
DOI
https://doi.org/10.1109/iccccm61016.2024.11039985
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
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article

Solar photovoltaic MPPT analysis using PO-fuzzy logic controller and I-C fuzzy logic controller

Sachit Rathee, Mrinal Dutta, Ramesh Kumar
Photovoltaic System Optimization Techniques
article

Solar photovoltaic MPPT analysis using PO-fuzzy logic controller and I-C fuzzy logic controller

Sachit Rathee, Mrinal Dutta, Ramesh Kumar
article en

Abstract

In order to achieve optimal control of solar photovoltaic (SPV) systems, the purpose of this study is to investigate the design and implementation of a PO-fuzzy logic controller as well as an I-C fuzzy logic controller. The perturb and observe (P&O) method and the incremental conductance (I&C) approach are two strategies that are frequently utilised in the process of optimising the performance of solar photovoltaic systems in terms of power generation. The P&O and I&C controllers have been modified in order to increase the charging rate and capacity. These modifications have been made. A PO-fuzzy logic controller and an I-C fuzzy logic controller have been developed as a direct consequence of this scenario. Both of these procedures have been adjusted to go beyond the capabilities of the methods that are now in use in order to reduce the amount of voltage variance that occurs during the measurement of voltage.

Maharaja Engineering College (IN), National Institute of Solar Energy (IN)
Affordable and clean energy
Openalex Percentile: Top 83%
Photovoltaic System Optimization Techniques
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