DocumentCode :
2120286
Title :
Analyzing and simulating the reduction in PV powerplant variability due to geographic smoothing in Ota City, Japan and Alamosa, CO
Author :
Lave, Matthew ; Stein, Joshua S. ; Ellis, Abraham
Author_Institution :
Sandia National Laboratories, Albuquerque, NM, 87185, USA
fYear :
2012
fDate :
3-8 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
Ota City, Japan and Alamosa, Colorado present contrasting cases of a small rooftop distributed PV plant versus a large central PV plant. We examine the effect of geographic smoothing on the power output of each plant. 1-second relative maximum ramp rates are found to be reduced 6–10 times for the total plant output versus a single point sensor, though smaller reductions are seen at longer timescales. The relative variability is found to decay exponentially at all timescales as additional houses or inverters are aggregated. The rate of decay depends on both the geographic diversity within the plant and the meteorological conditions (such as cloud speed) on a given day. The Wavelet Variability Model (WVM) takes into account these geographic smoothing effects to produce simulated PV powerplant output by using a point sensor as input. The WVM is tested against Ota City and Alamosa, and the WVM simulation closely matches the distribution of ramp rates of actual power output.
Keywords :
Indexes; Meteorology; photovoltaic systems; power grids; solar energy; solar power generation; wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Photovoltaic Specialists Conference (PVSC), Volume 2, 2012 IEEE 38th
Conference_Location :
Austin, TX, USA
Type :
conf
DOI :
10.1109/PVSC-Vol2.2012.6656719
Filename :
6656719
Link To Document :
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