Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

add noise + variable for shunt admittance #1

Closed
frederikgeth opened this issue Apr 16, 2020 · 4 comments
Closed

add noise + variable for shunt admittance #1

frederikgeth opened this issue Apr 16, 2020 · 4 comments
Assignees
Milestone

Comments

@frederikgeth
Copy link
Owner

Series resistance is proportional to length and cross section
Series reactance is a function of the voltage level
Shunt susceptance is proportional to length
Current rating is a function of series resistance

At the very least shunt susceptance should be obfuscated as well.

@afeutrill
Copy link
Collaborator

Hi Fred,

I was writing some of this one today. I've been looking at a data sources and some of them have a "shunt" key in the dict, and was using the "gs" and "bs" values in that part of the dict as the b and g. Then added noise to them, and storing the perturbed values back into the dict.

I need to add this as a variable as well. Haven't done anything on this yet.

@frederikgeth
Copy link
Owner Author

shunt objects at the top level in the PowerModels data model don't leak such information, they are abstractions of capacitor banks, and their value is independent of branch length. However branch shunts do leak length-related information. The branch shunts are the br_b values in the matpower format (col 5), and are mapped to b_fr and b_to (each of them assigned br_b/2). There is no way to supply branch shunt conductance data through the matpower format, but PowerModels' internal data format does support it, as g_fr and g_to. In normal transmission lines, g_fr and g_to are negligibly small relative to the other branch parameters, so assuming they're 0 is appropriate. Nevertheless, in super-high voltage transmission (e.g. >750kV) it may be significant. Furthermore, branches are often used in the loss model for transformers. In that case, shunt conductance is actually very significant. So, we can also consider anonymising transformer parameters in a similar fashion.

@frederikgeth
Copy link
Owner Author

frederikgeth commented Apr 23, 2020

Both series reactance and shunt susceptance are nonlinear functions of the length and the geometric mean distance (GMD) between the conductors. Branch shunt capacitance varies a lot between underground cables and overhead lines (because of the huge difference in GMD).

If you know the voltage level, you can infer length based on current/power rating and then infer GMD and category (overhead/underground).

Therefore, I think we better obfuscate series and shunt values independently, this gives less risk that we leak information.

@frederikgeth
Copy link
Owner Author

this is on master, so I can close it

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

4 participants