IEEE TSG 2024

This release contains the code used in the experiments for the journal paper

C. Yeh, J. Yu, Y. Shi, and A. Wierman, “Online learning for robust voltage control under uncertain grid topology,” IEEE Transactions on Smart Grid, 2024.

Attached files

• linear_out.zip - all output files from linear simulations
• nonlinear_out.zip - all output files from nonlinear simulations
• plots_final.zip - all generated plots

Nonlinear simulations

Preview of code for journal submission.

Major changes

• Adds support for nonlinear AC simulations.
• Adds support for learning the noise bound eta.
• Improved algorithm performance
• New figures
• Updated dependencies

Attached files

• linear_out.zip - all output files from linear simulations
• nonlinear_out.zip - all output files from nonlinear simulations
• plots.zip - all generated plots

ACM e-Energy 2022

C. Yeh, J. Yu, Y. Shi, and A. Wierman, "Robust online voltage control with an unknown grid topology," in Proceedings of the Thirteenth ACM International Conference on Future Energy Systems (e-Energy '22), Association for Computing Machinery, Jun. 2022, pp. 240–250, ISBN: 9781450393973. DOI: 10.1145/3538637.3538853. [Online]. Available: https://dl.acm.org/doi/10.1145/3538637.3538853.

The attached zip file contains Python .pkl files with the results necessary for plotting the figures found in our ACM e-Energy 2022 publication and conference presentation.