Characterizing local high-frequency solar variability and its impact to distribution studies
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Accurately representing the local solar variability at timescales relevant to distribution grid operations (30-seconds and shorter) is essential to modeling the impact of solar photovoltaics (PV) on distribution feeders. Due to a lack of available high-frequency solar data, some distribution grid studies have used synthetically-created PV variability or measured PV variability from a different location than their study location. In this work, we show the importance of using accurate solar PV variability inputs in distribution studies. Using high-frequency solar irradiance data from 10 locations in the United States, we compare the ramp rate distributions at the different locations, use a quantitative metric to describe the solar variability, and run distribution simulations using representative 1-week samples from each location to determine the impact of solar variability on the number of tap change operations. Results indicate up to a 300% difference in the number of tap change operations when using PV variability profiles from the different locations.
- Research Organization:
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Program (EE-2A)
- Grant/Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1497655
- Report Number(s):
- SAND--2014-16368J; 672037
- Journal Information:
- Solar Energy, Journal Name: Solar Energy Journal Issue: C Vol. 118; ISSN 0038-092X
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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