| Autor: |
Bosch, Juan L., Kleissl, Jan |
| Předmět: |
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| Zdroj: |
SOLAR Conference Proceedings; 2013, p1-5, 5p |
| Abstrakt: |
Advancing to a high photovoltaic penetration scenario implies a good understanding of both the spatial and temporal patterns of the solar energy input. Shadowing induced by clouds is the main source of the short-term fluctuations in the produced power. Cloud speed is one input needed for most of the forecasting and nowcasting approaches, however its measure at a local scale is still an unsolved challenge. The main goal of this study is to estimate the cloud motion vector (CMV) using existing sensors at a 48 MW PV plant located in Henderson, Nevada. Data was acquired during 1 year with 1 second resolution for both the five reference cells and 96 power inverters. CMVs are calculated assuming a linear cloud shadow edge (LCE) passing through three unaligned sensors. A different method is applied to the 96 power inverters dataset. This second method is used to validate cloud speeds and is based on the signal correlation between two sensors aligned with the cloud direction. Our analysis shows good agreement between both methods. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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