Overview

Learning to Run a Power Network Challenge

Power networks transport electricity across states, countries and even continents. They are the backbone of power distribution, playing a central economical and societal role by supplying reliable power to industry, services, and consumers. Their importance appears even more critical today as we transition towards a more sustainable world within a carbon-free economy, and concentrate energy distribution in the form of electricity. Problems that arise within the power grid range from transient brownouts to complete electrical blackouts which can create significant economic and social perturbations, i.e.de facto freezing society. Grid operators are still responsible for ensuring that a reliable supply of electricity is provided everywhere, at all times. With the advent of renewable energy, electric mobility, and limitations placed on engaging in new grid infrastructure projects, the task of controlling existing grids is becoming increasingly difficult, forcing grid operators to do “more with less”. This challenge aims at testing the potential of AI to address this important real-world problem for our future.

PMLR wrap-up paper of NeurIPS 2020 Competition results

(see also white paper in next section)

https://icaps21.icaps-conference.org/Competitions/

AI For Smart Grids:

If you want participate to the competitions and get notified, especially when the competition starts, please sign up to our mailing list.

If you first want to know more about it, go through this web page and our white paper below.

Grid2Operate - AI for smart grid framework

Our testbed platform used in competitions to model real-time operations, run & benchmark control algorithms github.com/rte-france/Grid2Op