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Article

Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions

by
Vasantharaj Subramanian
1,
Vairavasundaram Indragandhi
1,
Ramya Kuppusamy
2 and
Yuvaraja Teekaraman
3,*
1
School of Electrical Engineering, Vellore Institute of Technology, Vellore City 632014, India
2
Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore City 562106, India
3
MOBI-Mobility, Logistics and Automotive Technology Research Centre, Vrije Universiteit Brussel, Ixelles, 1050 Brussels, Belgium
*
Author to whom correspondence should be addressed.
Electronics 2021, 10(20), 2541; https://doi.org/10.3390/electronics10202541
Submission received: 17 September 2021 / Revised: 6 October 2021 / Accepted: 14 October 2021 / Published: 18 October 2021

Abstract

Due to the easiness of setup and great energy efficiency, direct current (DC) microgrids (MGs) have become more common. Solar photovoltaic (PV) and fuel cell (FC) systems drive the DC MG. Under varying irradiance and temperature, this work proposes a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) approach deployed to PV panel and FC generated boost converter. PV panels must be operated at their maximum power point (MPP) to enhance efficiency and shorten the system’s payback period. There are different kinds of MPPT approaches for using PV panels at that moment. Still, the FLC-based MPPT approach was chosen in this study because it responds instantaneously to environmental changes and is unaffected by circuit parameter changes. Similarly, this research proposes a better design strategy for FLC systems. It will improve the system reliability and stability of the response of the system. An FLC evaluates PV and FC via DC–DC boost converters to obtain this enhanced response time and accuracy.
Keywords: microgrid (MG); fuzzy logic controller (FLC); solar photovoltaic (PV); energy storage system (ESS); DC-link; maximum power point tracking (MPPT) microgrid (MG); fuzzy logic controller (FLC); solar photovoltaic (PV); energy storage system (ESS); DC-link; maximum power point tracking (MPPT)

Share and Cite

MDPI and ACS Style

Subramanian, V.; Indragandhi, V.; Kuppusamy, R.; Teekaraman, Y. Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions. Electronics 2021, 10, 2541. https://doi.org/10.3390/electronics10202541

AMA Style

Subramanian V, Indragandhi V, Kuppusamy R, Teekaraman Y. Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions. Electronics. 2021; 10(20):2541. https://doi.org/10.3390/electronics10202541

Chicago/Turabian Style

Subramanian, Vasantharaj, Vairavasundaram Indragandhi, Ramya Kuppusamy, and Yuvaraja Teekaraman. 2021. "Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions" Electronics 10, no. 20: 2541. https://doi.org/10.3390/electronics10202541

APA Style

Subramanian, V., Indragandhi, V., Kuppusamy, R., & Teekaraman, Y. (2021). Modeling and Analysis of PV System with Fuzzy Logic MPPT Technique for a DC Microgrid under Variable Atmospheric Conditions. Electronics, 10(20), 2541. https://doi.org/10.3390/electronics10202541

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