dan-marshman / denki-uc Goto Github PK
View Code? Open in Web Editor NEWStochastic unit commitment model in python
License: GNU General Public License v3.0
Stochastic unit commitment model in python
License: GNU General Public License v3.0
Dear Prof.
Thank you for your efforts.
Would you mind giving me some more information about the methodology of forecasting used in the project. How could I determine no. of scenarios required for each case and what are the constraints for using different scenarios for PV, Wind and demand.
Many Thanks
Dear Dr. Marshman
Thank you for your efforts.
Please guide me through the following:
1- How to extract the Stochastic model results, as I want to check for each scenario the values of load and renewables?
2- Why the value of objective function is only have one result while I have used for example 3 scenarios, this means that I will have a value of each objective function for each scenario?
3- I have my own country system data, could I use the model and enter this data to produce results include different load and renewable scenarios?
Many many Thanks
Dear sir,
First, thank you for dedicating your time to response.
I was wondering if you could possibly help me to explain how can I run this code step by step.
Thank you once again.
Regards,
Long
We should add a carbon price and renewable energy certificates. To do so, a carbon intensity would need to included in unit_data.csv, and a set of renewable generators should also be defined.
Dear author
Thank you for your contribution
Is the file denkiuc.denki_paths missing?
many thanks
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