DocumentCode
3729572
Title
A comparative study of MPPT algorithms for standalone PV systems under RCIC
Author
S. Z. Mirbagheri;M. Aldeen;S. Saha
Author_Institution
Future Grid Research Laboratory, Department of Electrical and Electronic Engineering, The University of Melbourne Parkville, VIC 3010, Australia
fYear
2015
Firstpage
1
Lastpage
5
Abstract
A comparative study between frequently used maximum power point tracking (MPPT) algorithms and a proposed Least Squares Support Vector Machine (LS-SVM) based MPPT algorithm under rapidly changing insolation condition (RCIC) is presented in this paper. The comparison shows that the proposed LS-SVM based MPPT algorithm offers some advantages over existing MPPT algorithms under RCIC, namely elimination of ripples in the output voltage of a PV solar system as well as improved tracking accuracy. The algorithms have been tested through simulation studies carried out on real data recorded by the Australia Bureau of Meteorology. The study compares the performances of LS-SVM, P&O and IncCond.
Keywords
"Maximum power point trackers","Algorithm design and analysis","Support vector machines","Voltage control","Inference algorithms","Artificial neural networks","Meteorology"
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
Type
conf
DOI
10.1109/APPEEC.2015.7380869
Filename
7380869
Link To Document