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arXiv · 2104.06478

Data-driven modeling of power networks

Bita Safaee·Serkan Gugercin
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Abstract

We develop a non-intrusive data-driven modeling framework for power network dynamics using the Lift and Learn approach of \cite{QianWillcox2020}. A lifting map is applied to the snapshot data obtained from the original nonlinear swing equations describing the underlying power network such that the lifted-data corresponds to quadratic nonlinearity. The lifted data is then projected onto a lower dimensional basis and the reduced quadratic matrices are fit to this reduced lifted data using a least-squares measure. The effectiveness of the proposed approach is investigated by two power network models.

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Bita Safaee, Serkan Gugercin. 2021-04-13. Data-driven modeling of power networks. https://arxiv.org/abs/2104.06478

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