I am using model predictive control to simulate market market participation of a Virtual Power Plant in the north of the Netherlands. The power plant portfolio consists of local (geographical sense: 5,749m²) renewable energy sources (wind, solar), stationary batteries and an electric vehicle fleet).
The market participation is constrained by the DSO constraints, Availability of electric vehicles (as their electricity demand has high priority), generation limits, storage limits and other fleet characteristics.
To calculate the power balance at each time step k within the forecasting horizon, I still need input data describing the supply side. Hence small to medium scale PV and wind generation data.
Does anyone has recommendation how to get most realistic data?
Thank you very much!
not sure if I understood the question correctly, but you can use opensource libraries to calculate the performance of those elements/plants
for example: pvlib and windpowerlib
https://pvlib-python.readthedocs.io/en/stable/
https://windpowerlib.readthedocs.io/en/stable/
As far as I understand you need electricity generation data generated by PVs and wind turbines. I do not know about wind turbines, but you can access these data for PVs at the link.
https://data.jrc.ec.europa.eu/dataset/jrc-emhires-solar-generation-time-series
You could try https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2019/May/IRENA_Renewable-Power-Generations-Costs-in-2018.pdf
and
Article Alternatives for small, medium and micro scale enterprises p...
or
https://cdn.ymaws.com/www.renewableuk.com/resource/resmgr/Docs/small_medium_wind_strategy_r.pdf .
Try the OECD database
https://data.oecd.org
or the IRENA database
or ourworldindata.com
For wind have a look at https://www.neweuropeanwindatlas.eu/ and contact the consortium.
For solar have a look at PV GIS https://ec.europa.eu/jrc/en/pvgis
Johanna Lorenz maybe this article will help you to find some answers to photovoltaic potentials Article Photovoltaic Potential Estimation by Means of Data Mining in...
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