College - Author 1

College of Engineering

Department - Author 1

Electrical Engineering Department

Degree Name - Author 1

BS in Electrical Engineering

College - Author 2

College of Engineering

Department - Author 2

Electrical Engineering Department

Degree - Author 2

BS in Electrical Engineering



Primary Advisor

Dale Dolan, College of Engineering, Electrical Engineering Department


The technology of photovoltaics has been quickly evolving as we move toward a future with more clean energy. Energy conversion efficiency is key to making these systems the viable option amongst other sources of power. This project proposes a way to increase the power yield from a solar system by implementing smarter algorithms in the maximum power point tracking (MPPT) component of the system. MPPT is critical because environmental conditions may vary significantly for any given system due to irradiance and shading. The proposed method for MPPT utilizes a controller that uses swarm intelligence to do the power tracking.. This controller makes use of the Particle Swarm Optimization (PSO) algorithm to find the optimal duty cycle used by the charge controller. Matlab/Simulink was used as a simulation resource to test the various MPPT designs.