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

Feature Request: HELM (Holomorphic Embedding Load-flow Method) #17

Open
bergkvist opened this issue Oct 16, 2020 · 1 comment
Open

Feature Request: HELM (Holomorphic Embedding Load-flow Method) #17

bergkvist opened this issue Oct 16, 2020 · 1 comment
Labels
enhancement New feature or request

Comments

@bergkvist
Copy link

https://en.wikipedia.org/wiki/Holomorphic_embedding_load_flow_method

This is great for a real-time grid monitoring system, because convergence is guaranteed if a solution exists (in contrast to Newton-Rhapson Powerflow).

@bergkvist bergkvist added the enhancement New feature or request label Oct 16, 2020
@BDonnot
Copy link
Collaborator

BDonnot commented Oct 17, 2020

Hello,

This feature is more or less planned in a near future. Because, well, we are also interested in this convergence properties 😊

If you want a powerflow (might be slower than lightsim I didn't check) with the helm method feel free to check https://github.com/SanPen/GridCal: they implemented it 😊

Note however than lightsim2grid comes with some restrictions (see the disclaimer) and that using it outside of a research context (for example for real grid real time monitoring) is probably not the best idea.

And even for research purpose, lightsim is probably not the best tool to make research about power system themselves (there are way better solver for that). It is rather suited to include some basic modeling of power systems into other research topics (eg. decision making, sequential decisions making, machine learning, etc), or at least this is why we developed it.

Benjamin

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

No branches or pull requests

2 participants