Virtual Conference
July 26, 2021
July 26, 2021
July 19, 2022
Energy Conversion and Conservation Division Technical Session 3: Education Track
Energy Conversion and Conservation
10
10.18260/1-2--37816
https://peer.asee.org/37816
786
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.
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. 10.18260/1-2--37816
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