DocumentCode :
3342975
Title :
Quantifying solar power variability for a large central PV plant and small distributed PV plant
Author :
Moaveni, Houtan ; Click, David K. ; Meeker, Richard H. ; Reedy, Robert M. ; Pappalardo, Alfio
Author_Institution :
Florida Solar Energy Center, Univ. of Central Florida, Cocoa, FL, USA
fYear :
2013
fDate :
16-21 June 2013
Abstract :
Photovoltaic energy is susceptible to high variability, caused by passing clouds that may affect a site´s daily energy production substantially. The reduction in solar variability due to geographic diversity was compared for a large central PV plant and small distributed PV plants using a multistep approach. At short timescales, geographic smoothing offers a strong benefit, which decreases with longer timescales and increased spatial correlation. The design attributes and relative locations of individual PV systems on a distribution feeder could significantly change the geographic dispersion effects.
Keywords :
distributed power generation; photovoltaic power systems; distribution feeder; geographic dispersion effects; geographic diversity; geographic smoothing; large central photovoltaic plant; multistep approach; small distributed photovoltaic plant; solar power variability; spatial correlation; Coherence; Correlation; Fluctuations; Indexes; Smoothing methods; Wavelet transforms; Solar power variability; geographic smoothing; high PV penetration; metrics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th
Conference_Location :
Tampa, FL
Type :
conf
DOI :
10.1109/PVSC.2013.6744303
Filename :
6744303
Link To Document :
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