Document Type
Thesis - University Access Only
Award Date
2001
Degree Name
Master of Science (MS)
Department / School
Electrical Engineering
Abstract
Maximum power point trackers (MPPT) play an important role in solar power systems because they maximize the power output from a Photovoltaic (PV) system, thereby minimizing overall system cost. MPPT's can be controlled using a variety of different MPPT algorithm, however, to date there has been no experimental comparison between different algorithms in terms of their maximum power point tracking efficiencies using a common baseline. This common baseline includes an MPPT test bed to facilitate the testing of all algorithms of interest and optimizing all algorithms to their fullest potential. This paper provides a comparison between the perturb and observe, incremental conductance and constant voltage algorithms. Results are obtained for these three optimized algorithms (Perturb and Observe, Incremental Conductance and Constant Voltage) using a microprocessor-controlled MPPT operating from a PV array and also a PV array simulator.
Library of Congress Subject Headings
Photovoltaic power generation
Algorithms
Format
application/pdf
Number of Pages
138
Publisher
South Dakota State University
Recommended Citation
Hohm, Daniel, "Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, MPPT Test Bed" (2001). Electronic Theses and Dissertations. 798.
https://openprairie.sdstate.edu/etd2/798