There is a tool in PVsyst for transferring the code from one machine to another one. After installing the software on the target machine, please carefully read the "Local number" produced. Then you come back to the original (licensed) machine, open the tool ("License" / "Transfer to another machine"), which will ask for the new Local number and will deliver the corresponding code.
I'm not a programming expert, but I would imagine that a small piece of code would be able to dissicate a 20 orientations project on 10 inverters into 10 x 2 orientations project on one inverter, simulate those sub-projects one by one as per the current simulation code, before summing everything up.
multi-heterogeneous orientations will maybe come later, especially that PV modules are getting cheaper and cheaper and so the perfect orientation is becoming less critical and installers will put PV panels on most of the available surfaces.
As for the micro-inverters, it is certainly more appropriate on such systems, but honestly I haven't used micro-inverters on any of my projects. I should definetly do a cost comparison. By the way, how would you estimate the production of microinverters?!
I am indeed preparing a multi-orientation option for the next version 6.13 of PVsyst (up to 8 different orientations). With a shading calculation specific for each orientation, without any angular restrictions between planes as previously.
I am currently trying to create a PVlib project where I am attempting to import Solar modules .pan files and inverter .ond files provided to me but other than the retrieve_sam command. I am not seeing a capability to import existing .pan and .ond files from my laptop for PVlib to read the same.
pvlib doesn't currently have any functionality for reading PVsyst files, but some other people have made python code to do so, e.g. _tools. Here is some relevant discussion from the pvlib google group: -python/c/PDDic0SS6ao/m/Z-WKj7C6BwAJ
For reading your existing data files, if pvlib.iotools does not have a suitable function, you can always DIY using pandas (e.g. pandas.read_csv or similar). Most of the iotools functions use pandas under the hood anyway. To give a more specific recommendation we'd need to see a snippet of your file to see exactly what format it is in.
First, change the extension of the file to .csv, then open the file and check if it has any comments or info lines. In my case, the files start with many comment lines and also one line with info regarding unit:
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