Hi, I’m wondering if there is any documentation on the generation profiles for PV and wind plants in ENET39 - specifically on the model used the create them (i.e. PVWatts, ect)?
Hi Emma,
Thank you for your question!
The solar, wind, and demand profiles for the ENET39 all come directly from data provided by the National Lab of the Rockies (NLR, formerly NREL). Specifically, the data is taken directly from their ReEDS dataset. Everything below describes the data available as of the 2023 Standard Scenarios, which was the most recent version available when the ENET39 dataset was built.
ReEDS included weather data for the years 2007-2013. We chose to use the most recent weather year 2013 for demand, wind, and solar. Solar and wind profiles were accessed after being calculated by NLR using several of their tools including the National Solar Radiation Database, with WIND Toolkit, and PVWatts.
For demand, data was available for each state represented in the ENET39. The ReEDS demand profiles were “normalized” such that the peak value of the profile is equal to 1. This was done because we wanted to use the demand setpoint values from the IEEE 39 Bus Test System as the peak load value for each bus, while using the demand shape available from ReEDS to cast that demand out for the rest of the year. The profiles for wind and solar already represented capacity factors for those technologies (i.e., all the values in those profiles were already between 0 and 1).
For solar, data was also available for each state represented in the ENET39. ReEDS had multiple solar profiles for each state, each intended to represent different “qualities” of solar resource availability in different parts of the state. The solar profiles in ReEDS are relatively high since they represent capacity factors for the most efficient technologies available. However, since the ENET39 is based on the IEEE 39 Bus Test System which loosely represents the New England power system sometim in the past, we chose to use the “lowest quality” solar resource profiles available in each state where a solar generator was placed in the ENET39 model.
For wind, data was available at a slightly more granular resolution. We used profiles from western MA, eastern MA, and western ME for the FAIRHAVEN, CAMELOT, and BEAVERRIDGE wind generators, respectively. Again we chose to use the “lowest quality” wind resource profiles in each region with the intention of representing older wind turbines rather than those available in 2022/2023 when these capacity factor profiles were simulated by NLR.
I hope this answers your question! Please let me know if you have any follow-up questions or need any other assistance.
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Hi @will, thanks for this context. I’m wondering if you would be able to provide a mapping between the 19 loads in the IEEE 39 Bus system and the load names used in ENET 39. I would like to generate my own profiles for these loads, but would like to similarly scale them to match the IEEE 39 Bus peak loads.
As an additional ask, I am wondering whether you would be able to share the ReEDS model originally used to obtain the demand profiles.
Thanks,
Emma
Hi @emmacooper
The buses in the IEEE 39-bus system are represented by the 39 “ENO” objects in the ENET39 Network. The “Name” property of these ENO objects was assigned for aesthetic purpose only. The “Alias” property has been used to preserve the bus IDs from the original IEEE 39-bus system. So for each EDEM you can refer to the “Alias” property of the associated ENO to get this information.
As always, let us know if you have any further questions or notice anything strange! We always appreciate the feedback.
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