DocumentCode
1953265
Title
Prediction of PV power quality: Total harmonic distortion of current
Author
Rodway, James ; Musilek, Petr ; Misak, S. ; Prokop, Lukas
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
fYear
2013
fDate
21-23 Aug. 2013
Firstpage
1
Lastpage
4
Abstract
With the growing amount of renewable energy sources being connected to the grid, issues concerning the power quality are becoming increasingly important. This is due to the distributed nature of these power sources and to their higher variability when compared to more traditional sources. For photovoltaic sources, total harmonic distortion of current is one of the main power quality parameter closely related to solar irradiance. This work explores this relationship and employs computational intelligence techniques in order to predict current distortion values. Preliminary results confirm the possibility to capture these relationships and predict occurrence of power quality issues ahead of time.
Keywords
harmonic distortion; photovoltaic power systems; power grids; power supply quality; power system harmonics; PV power quality prediction; computational intelligence techniques; current distortion value prediction; photovoltaic sources; power quality parameter; power sources; renewable energy sources; solar irradiance; total current harmonic distortion; Harmonic analysis; IEEE standards; Neural networks; Power quality; Power system harmonics; Total harmonic distortion; Renewable energy; power quality; prediction; variability;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Power & Energy Conference (EPEC), 2013 IEEE
Conference_Location
Halifax, NS
Print_ISBN
978-1-4799-0105-0
Type
conf
DOI
10.1109/EPEC.2013.6802926
Filename
6802926
Link To Document