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 Betterton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish (US)
Title of host publication2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-84
Number of pages5
ISBN (Print)9781479943982
DOIs
StatePublished - Oct 15 2014
Event40th IEEE Photovoltaic Specialist Conference, PVSC 2014 - Denver, United States
Duration: Jun 8 2014Jun 13 2014

Other

Other40th IEEE Photovoltaic Specialist Conference, PVSC 2014
CountryUnited States
CityDenver
Period6/8/146/13/14

Fingerprint

Distributed power generation
Satellites
Satellite imagery
Sensors

Keywords

  • forecasting
  • real-time systems
  • sensors
  • solar energy

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Holmgren, W. F., Lorenzo, A. T., Leuthold, M., Kim, C. K., Cronin, A. D., & Betterton, E. (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). [6925222] 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; Kim, Chang Ki; Cronin, Alexander D; Betterton, Eric.

2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 80-84 6925222.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Holmgren, WF, Lorenzo, AT, Leuthold, M, Kim, CK, Cronin, AD & Betterton, E 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, 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 E. 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 https://doi.org/10.1109/PVSC.2014.6925222
Holmgren, William F. ; Lorenzo, Antonio T. ; Leuthold, Michael ; Kim, Chang Ki ; Cronin, Alexander D ; Betterton, Eric. / 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
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