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Hello, I apologize for the interruption. I am a graduate student whose research aligns closely with the platform you provide. I have encountered some issues using your code and would appreciate your guidance if you have the time.
1.Initially, I encountered numerous missing files crucial for MPC operation during code execution, including V2G_MPC.yaml, eMPC_V2G, and V2GProfitMaxOracleGB.
2.After reviewing your relevant papers, I found that the V2G profits generated by these algorithms are not ideal. I suspect this may be due to excessively low discharge pricing, resulting in insufficient reward feedback. Your papers consistently show discharge prices below charging prices. How should I adjust the parameters to achieve higher discharge prices than charging prices during peak demand periods?
3.Secondly, would a visualization comparing the optimal charging and discharging price curves generated by each algorithm be more intuitive?
4.I observed that your initial data includes load curves. Could we consider adding a peak-shaving mechanism to further enhance V2G profitability?
Finally, thank you for taking the time to read my questions and requests. I am a first-year researcher and not yet very familiar with algorithms. Please forgive any abruptness. If you have time, I would appreciate the opportunity to discuss the use of this project in more detail. I believe it is an excellent project. My email address is 2202400230@neepu.edu.cn. I look forward to your reply. Once again, I commend your open-source contributions and spirit!
The text was updated successfully, but these errors were encountered:
Hello,
Thank you for taking the time to raise some issues and questions for EV2Gym, I really appreciate it! I am sending you an email as well so we could schedule an online discussion.
Indeed the V2G_MPC.yaml was not included in this version of EV2Gym example config files. However, the config files only define a EV charging problem and do not have any algorithmic use. I suggest you try the following config file for EV2Gym (https://github.com/StavrosOrf/EV2Gym/blob/main/ev2gym/example_config_files/V2GProfitMax.yaml)
The other two classes should be available in the following files:
This can be an interesting visualization. Currently, EV2Gym assumes that the prices are set by the markets so the control algorithms try to optimize the charging power of the EVs.
I agree this would be a useful baseline algorithm.
I hope I answered some of your questions, feel free to ask more in this thread or during our meeting.
Hello, I apologize for the interruption. I am a graduate student whose research aligns closely with the platform you provide. I have encountered some issues using your code and would appreciate your guidance if you have the time.
1.Initially, I encountered numerous missing files crucial for MPC operation during code execution, including V2G_MPC.yaml, eMPC_V2G, and V2GProfitMaxOracleGB.
2.After reviewing your relevant papers, I found that the V2G profits generated by these algorithms are not ideal. I suspect this may be due to excessively low discharge pricing, resulting in insufficient reward feedback. Your papers consistently show discharge prices below charging prices. How should I adjust the parameters to achieve higher discharge prices than charging prices during peak demand periods?
3.Secondly, would a visualization comparing the optimal charging and discharging price curves generated by each algorithm be more intuitive?
4.I observed that your initial data includes load curves. Could we consider adding a peak-shaving mechanism to further enhance V2G profitability?
Finally, thank you for taking the time to read my questions and requests. I am a first-year researcher and not yet very familiar with algorithms. Please forgive any abruptness. If you have time, I would appreciate the opportunity to discuss the use of this project in more detail. I believe it is an excellent project. My email address is 2202400230@neepu.edu.cn. I look forward to your reply. Once again, I commend your open-source contributions and spirit!
The text was updated successfully, but these errors were encountered: