Synthetic irradiance generation
The solarspatialtools.synthirrad package contains tools for generating synthetic irradiance timeseries and performing downscaling of timeseries. The package implements the following approaches:
cloudfield
Generate a simulated field of clouds from which spatially distributed timeseries of kt can be extracted. The field distributions are based on the properties of a time series of kt values. This is an implementation of the method described by Lave et al [1]. Some aspects of the implementation diverge slightly from the initial paper to follow a subsequent code implementation of the method shared by the original authors.
[1] Matthew Lave, Matthew J. Reno, Robert J. Broderick, “Creation and Value of Synthetic High-Frequency Solar Inputs for Distribution System QSTS Simulations,” 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), Washington, DC, USA, 2017, pp. 3031-3033, doi: https://dx.doi.org/10.1109/PVSC.2017.8366378.
Functions
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Get the properties of a time series of kt values. |
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Generate a time series of cloud fields based on the properties of a time series of kt values. |
copula
Generate synthetic timeseries of kt values based on a spacetime copula model. This method was first described by Widen and Munkhammar [2] and utilizes Gaussian Copula statistical representations of the irradiance as a source for sub-interval downscaling.
[2] Widen, J. and Munkhammar, J., “Spatio-Temporal Downscaling of Hourly Solar irradiance Data Using Gaussian Copulas,” 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), Chicago, IL, USA, 2019, pp. 3172-3178, doi: https://dx.doi.org/10.1109/PVSC40753.2019.8980922.
Functions
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Downscale the synthetic CSI for a position field using a copula. |
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Downscale the synthetic CSI for a position field using a copula. |