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State Estimation in Electric Power Systems Leveraging Graph Neural Networks. (arXiv:2201.04056v1 [cs.LG])
Jan. 12, 2022, 2:10 a.m. | Ognjen Kundacina, Mirsad Cosovic, Dejan Vukobratovic
cs.LG updates on arXiv.org arxiv.org
The goal of the state estimation (SE) algorithm is to estimate complex bus
voltages as state variables based on the available set of measurements in the
power system. Because phasor measurement units (PMUs) are increasingly being
used in transmission power systems, there is a need for a fast SE solver that
can take advantage of PMU high sampling rates. This paper proposes training a
graph neural network (GNN) to learn the estimates given the PMU voltage and
current measurements as …
arxiv graph graph neural networks networks neural networks power systems
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