Multi-fidelity power flow solver. (arXiv:2205.13362v1 [cs.LG])

We propose a multi-fidelity neural network (MFNN) tailored for rapid
high-dimensional grid power flow simulations and contingency analysis with
scarce high-fidelity contingency data. The proposed model comprises two
networks -- the first one trained on DC approximation as low-fidelity data and
coupled to a high-fidelity neural net trained on both low- and high-fidelity
power flow data. Each network features a latent module which parametrizes the
model by a discrete grid topology vector for generalization (e.g., $n$ power
lines with $k$ …

arxiv fidelity flow power solver