  Effective frequency control in power grids has become increasingly important
with the increasing demand for renewable energy sources. Here, we propose a
novel strategy for resolving this challenge using graph convolutional proximal
policy optimization (GC-PPO). The GC-PPO method can optimally determine how
much power individual buses dispatch to reduce frequency fluctuations across a
power grid. We demonstrate its efficacy in controlling disturbances by applying
the GC-PPO to the power grid of the UK. The performance of GC-PPO is
outstanding compared to the classical methods. This result highlights the
promising role of GC-PPO in enhancing the stability and reliability of power
systems by switching lines or decentralizing grid topology.
