Title :
A data-driven approach to the design of photovoltaic maximum power point tracking techniques using field transient data
Author :
Shibin Qin;Rodrigo Serna;Robert C.N. Pilawa-Podgurski
Author_Institution :
Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
Abstract :
Conventional approaches for photovoltaic maximum power point tracking (PV MPPT) design based on rule-of-thumb assumptions might not result in the optimal performance in the field. To improve the field performance of practical MPPT designs, this paper proposes a comprehensive approach to MPPT design driven by experimentally measured field data. The data on the dynamic behavior of PV panel I-V characteristics has been collected over a long period at a significantly higher rate than previously reported in the literature. This paper presents the measurement setup, the collected data and most importantly its design applications. The P&O method has been taken as an example to illustrate how this data can be applied to optimize a practical MPPT design in terms of tracking speed and efficiency.
Keywords :
"Accuracy","Current measurement","Transient analysis","Maximum power point trackers","Voltage measurement","Data models","Algorithm design and analysis"
Conference_Titel :
Energy Conversion Congress and Exposition (ECCE), 2015 IEEE
Electronic_ISBN :
2329-3748
DOI :
10.1109/ECCE.2015.7310587