DocumentCode
121837
Title
An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data
Author
Holmgren, William F. ; Lorenzo, Antonio T. ; Leuthold, Matthias ; Chang Ki Kim ; Cronin, Alexander D. ; Betterton, Eric A.
Author_Institution
Dept. of Phys., Univ. of Arizona, Tucson, AZ, USA
fYear
2014
fDate
8-13 June 2014
Abstract
We developed a real-time PV power forecasting system for Tucson Electric Power using a combination of high-resolution numerical weather prediction, satellite imagery, distributed generation (DG) production data, and irradiance sensors. The system provides forecasts with 10 second resolution for the first 30 minutes and 3 minute resolution out to 3 days. Forecasts out to 30 minutes are updated every 60 seconds based on new data from DG installations and irradiance sensors.
Keywords
distributed power generation; photovoltaic power systems; sensors; weather forecasting; DG installations; DG production data; NWP; Tucson Electric Power; distributed generation production data; high-resolution numerical weather prediction; irradiance sensors; real-time PV power forecasting system; satellite imagery; Forecasting; Numerical models; Predictive models; Satellites; Sensors; Wind forecasting; forecasting; real-time systems; sensors; solar energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location
Denver, CO
Type
conf
DOI
10.1109/PVSC.2014.6925222
Filename
6925222
Link To Document