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This content will become publicly available on November 10, 2016

Title: Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting

Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial tomore » power systems operations.« less
 [1] ;  [1] ;  [2] ;  [2] ;  [3] ;  [4] ;  [5] ;  [6] ;  [7] ;  [8]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. IBM TJ Watson Research Center, Yorktown Heights, NY (United States)
  3. Northeastern Univ., Boston, MA (United States)
  4. Univ. of Arizona, Tucson, AZ (United States)
  5. Argonne National Lab. (ANL), Lemont, IL (United States)
  6. U.S. Dept. of Energy, Washington, D.C. (United States)
  7. ISO New England, Holyoke, MA (United States)
  8. Green Mountain Power, Colchester, VT (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 0038-092X
Grant/Contract Number:
Accepted Manuscript
Journal Name:
Solar Energy
Additional Journal Information:
Journal Volume: 122; Related Information: Solar Energy; Journal ID: ISSN 0038-092X
Research Org:
NREL (National Renewable Energy Laboratory (NREL), Golden, CO (United States))
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)
Country of Publication:
United States
14 SOLAR ENERGY; 29 ENERGY PLANNING, POLICY, AND ECONOMY numerical weather prediction; operating reserve; ramp forecasting; PV power forecasting; National Renewable Energy Laboratory; NREL