ExpertAgent: A example implementation of using ExpertOpForGrid for empirical overflow solving¶
This Agent uses a greedy algorithm to try to solve an overflow by trying many different topological actions.
To use this agent, please follow the install steps in ExpertAgent/READ_ME.md : https://github.com/rte-france/l2rpn-baselines/tree/master/l2rpn_baselines/ExpertAgent/READ_ME.md
You can find the documentation on the algorithm and it’s usage on : https://github.com/marota/ExpertOp4Grid
The readthedocs documentation can be found here : https://expertop4grid.readthedocs.io/en/latest/
This agent does not train, it is only a closed system analysis to help decision making to solve an overload. You can use this class with:
from l2rpn_baselines.ExpertAgent import ExpertAgent from l2rpn_baselines.ExpertAgent import eval_expertagent