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Teaching Maximum Power Point Tracking (MPPT) Algorithms of Photovoltaic (PV) Systems Using MATLAB

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Conference

2021 ASEE Virtual Annual Conference Content Access

Location

Virtual Conference

Publication Date

July 26, 2021

Start Date

July 26, 2021

End Date

July 19, 2022

Conference Session

Energy Conversion and Conservation Division Technical Session 3: Education Track

Tagged Division

Energy Conversion and Conservation

Page Count

10

Permanent URL

https://peer.asee.org/37816

Download Count

205

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Paper Authors

biography

Lihong Heidi Jiao Grand Valley State University

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Dr. Jiao is a Professor in the Padnos College of Engineering and Computing at Grand Valley State University. Her areas of interest include semiconductor device fabrication and characterization, nano-materials, nano-devices, fiber optics, nanotechnology education, and photovoltaic systems. Her research activities involve inorganic/organic solar cells, MEMs/NEMs for sensor applications, photovoltaic systems, and soiling and cleaning of solar panels.

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Abstract

This paper presents the development of MATLAB Simulink models that will aid in teaching maximum power point and maximum power point tracking (MPPT) algorithms in photovoltaic systems. The aim of these models is to help students have a deeper understanding of MPPT by examining Simulink models and carrying out various simulations. Three Simulink models were created to study maximum power point in solar cells and modules. One Simulink model was developed to explore two MPPT algorithms: Perturb and Observe (P&O) and Fractional Open-Circuit Voltage (FractionalOCV). The response of PV output power to the changes in environmental factors like solar irradiance and temperature was also examined.

Jiao, L. H. (2021, July), Teaching Maximum Power Point Tracking (MPPT) Algorithms of Photovoltaic (PV) Systems Using MATLAB Paper presented at 2021 ASEE Virtual Annual Conference Content Access, Virtual Conference. https://peer.asee.org/37816

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