An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data

William F. Holmgren; Antonio T. Lorenzo; Michael Leuthold; Chang Ki Kim; Alexander D. Cronin; Eric A. Betterton

doi:10.1109/PVSC.2014.6925222

An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data

William F. Holmgren
, Antonio T. Lorenzo
, Michael Leuthold
, Chang Ki Kim
, Alexander D. Cronin
, Eric A. Betterton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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.

Original language	English (US)
Title of host publication	2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	80-84
Number of pages	5
ISBN (Electronic)	9781479943982
DOIs	https://doi.org/10.1109/PVSC.2014.6925222
State	Published - Oct 15 2014
Event	40th IEEE Photovoltaic Specialist Conference, PVSC 2014 - Denver, United States Duration: Jun 8 2014 → Jun 13 2014

Publication series

Name	2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014

Other

Other	40th IEEE Photovoltaic Specialist Conference, PVSC 2014
Country/Territory	United States
City	Denver
Period	6/8/14 → 6/13/14

Keywords

forecasting
real-time systems
sensors
solar energy

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/PVSC.2014.6925222

Cite this

Holmgren, W. F., Lorenzo, A. T., Leuthold, M., Kim, C. K., Cronin, A. D., & Betterton, E. A. (2014). An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data. In 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014 (pp. 80-84). Article 6925222 (2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PVSC.2014.6925222

An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data. / Holmgren, William F.; Lorenzo, Antonio T.; Leuthold, Michael et al.
2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 80-84 6925222 (2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Holmgren, WF, Lorenzo, AT, Leuthold, M, Kim, CK, Cronin, AD & Betterton, EA 2014, An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data. in 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014., 6925222, 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 80-84, 40th IEEE Photovoltaic Specialist Conference, PVSC 2014, Denver, United States, 6/8/14. https://doi.org/10.1109/PVSC.2014.6925222

Holmgren WF, Lorenzo AT, Leuthold M, Kim CK, Cronin AD, Betterton EA. An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data. In 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 80-84. 6925222. (2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014). doi: 10.1109/PVSC.2014.6925222

Holmgren, William F. ; Lorenzo, Antonio T. ; Leuthold, Michael et al. / An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data. 2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 80-84 (2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014).

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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.",

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An operational, real-time forecasting system for 250 MW of PV power using NWP, satellite, and DG production data

Abstract

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Keywords

ASJC Scopus subject areas

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