Kelvin Tan

Electrical engineering

Hometown: Peoria, Arizona, United States

Graduation date: Fall 2021

Kelvin Tan
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FURI | Needs Review, Summer 2021

Development of a Feedback-Based Control Algorithm for Maximum Power Point Tracking through Load Management

Load Managing photovoltaic (PV) system is proven to be an efficient systematic approach to extract the maximum available PV power. The project focuses on developing a feedback-based control algorithm and analyzing real-time experimental data for its improvement. Results show that the new PV system can perform maximum power point tracking without the need for power management and/or conversion devices by matching the number of loads with the connected PV array. The system presents a competitive PV-driven solution for hydrogen production, electric vehicle charging, and other applications to accelerate the decarbonization of our energy and transportation sector.

Mentor:

Additional projects from this student

Developing an efficient algorithm for load management will accelerate the development of photovoltaics and their use in the energy sector.

Mentor:

  • FURI
  • Spring 2021

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