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Add method to fit PVsyst SDM to IEC 61853 data #2185

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kandersolar opened this issue Aug 27, 2024 · 6 comments · Fixed by #2429
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Add method to fit PVsyst SDM to IEC 61853 data #2185

kandersolar opened this issue Aug 27, 2024 · 6 comments · Fixed by #2429
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@kandersolar
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We have developed a method for determining parameter values for the PVsyst single diode model using IEC 61853-1 matrix measurements. The method produces useful fits on a range of IEC 61853 datasets without resorting to numerical optimization. A journal article describing the method is nearing readiness for submission. Once that manuscript is submitted, we plan to submit a PR to add the method to pvlib.

We already have pvlib.ivtools.sdm.fit_pvsyst_sandia, which calculates SDM parameters based on I-V curves. Perhaps new functions along these lines should encode the data source in their name, so this function could be called fit_pvsyst_iec61853_sandia or similar.

Note that such a method does not constitute a "PAN file generator" as it addresses only the electrical portion of a PAN file.

See also:

@kandersolar
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The mentioned article is now available early and open access: https://doi.org/10.1109/JPHOTOV.2025.3554338

@adriesse
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Would that have been substantially different or more difficult to do it for CEC and De Soto?

@kandersolar
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Sure, I expect similar methods could be developed for CEC and De Soto. It would probably be easier for those two than it was for the PVsyst SDM.

@mikofski
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I’m pretty excited to start using this in pvfree to generate PVsyst parameter from SAM module libraries

@cwhanse
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cwhanse commented Apr 12, 2025

I’m pretty excited to start using this in pvfree to generate PVsyst parameter from SAM module libraries

@mikofski I'm curious why the existing pvsyst functions wouldn't work for that? FYI, we expect #2212 to move ahead soon. It would be quite interesting to see a comparison among these somewhat independently derived techniques.

@mikofski
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I was intending to use the existing functions, but I haven’t read the paper on these new regressions yet, so perhaps naively thought it might be a better option.

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4 participants