Optimal Power Flow Using Graph Neural Networks

@article{Owerko2020OptimalPF,
  title={Optimal Power Flow Using Graph Neural Networks},
  author={Damian Owerko and Fernando Gama and Alejandro Ribeiro},
  journal={ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2020},
  pages={5930-5934}
}
Optimal power flow (OPF) is one of the most important optimization problems in the energy industry. In its simplest form, OPF attempts to find the optimal power that the generators within the grid have to produce to satisfy a given demand. Optimality is measured with respect to the cost that each generator incurs in producing this power. The OPF problem is non-convex due to the sinusoidal nature of electrical generation and thus is difficult to solve. Using small angle approximations leads to a… 

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