Study of variability metrics for solar irradiance and photovoltaic output
Paper
Paper/Presentation Title | Study of variability metrics for solar irradiance and photovoltaic output |
---|---|
Presentation Type | Paper |
Authors | Cui, Yi (Author), Su, Yu (Author), Liu, Yong (Author), Liu, Yilu (Author) and Smith, David (Author) |
Journal or Proceedings Title | Proceedings of the 2017 IEEE Power and Energy Society General Meeting (PESGM) |
ERA Conference ID | 50486 |
Number of Pages | 5 |
Year | 2017 |
Place of Publication | Chicago, United States |
ISBN | 9781538622124 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/PESGM.2017.8274193 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8274193 |
Conference/Event | 2017 IEEE Power and Energy Society General Meeting (PESGM) |
IEEE Power and Energy Society General Meeting | |
Event Details | 2017 IEEE Power and Energy Society General Meeting (PESGM) Event Date 16 to end of 20 Jul 2017 Event Location Chicago, United States |
Event Details | IEEE Power and Energy Society General Meeting PES-GM |
Abstract | Two variability metrics, i.e., universal variability index (UVI) and natural variability index (NVI) for solar irradiance and PV output are examined in this paper using high resolution irradiance measurement data of a PV farm over three years. Three criterions are proposed to evaluate the acceptability of variability metrics, including irradiance variability level classification, variability pattern identification and correlation with ramps of solar irradiance. It is shown that both UVI and NVI can differentiate seasonal irradiance variations. UVI has a superior performance in distinguishing the irradiance variation on clear sky and overcast days while NVI has limitations in identifying the irradiance variation on intermittent cloudy days. Furthermore, a strong linear relationship is observed between irradiance ramps and universal variability index, which implies that UVI can be used as a predictor for irradiance ramping estimation. |
Keywords | Ramps; Solar variability; Statistical analysis; Variability metrics |
ANZSRC Field of Research 2020 | 400808. Photovoltaic power systems |
400803. Electrical energy generation (incl. renewables, excl. photovoltaics) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Tennessee, United States |
Tennessee Valley Authority, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7w2y/study-of-variability-metrics-for-solar-irradiance-and-photovoltaic-output
46
total views2
total downloads3
views this month0
downloads this month