FURI | Spring 2021

Algorithms for Maximum Power Point Tracking through Load Management

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Load Managing photovoltaic (PV) system is proven to be an efficient systematic approach to extract the maximum available PV power. The direct-coupled load-managing PV system controls and matches the number of loads with the connected PV array to extract the maximum amount of power throughout the day. The project focuses on developing a feedback-based control algorithm and analyzes its improvement for the load-matching PV system. The results prove the viability of maximum power point tracking through this methodology and presents ample opportunities for future improvements.

Student researcher

Kelvin Tan

Kelvin Tan

Electrical engineering

Hometown: Peoria, Arizona, United States

Graduation date: Fall 2021

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