A Probabilistic Perspective for Power Flow and Its Implication to Power Network Analysis

@article{Malyscheff2018APP,
  title={A Probabilistic Perspective for Power Flow and Its Implication to Power Network Analysis},
  author={Alexander M. Malyscheff and Di Wu and Feng Min Ma and John N. Jiang},
  journal={2018 North American Power Symposium (NAPS)},
  year={2018},
  pages={1-6}
}
The interpretation of power flows from a probabilistic perspective is an important topic in the development algorithms of complex network theory for power system analysis, as it is conceived as the theoretical foundation for many new techniques such as machine learning and artificial intelligence. In this paper, we first show that power flow can be mathematically represented as the equilibrium of probabilistic energy movements on a graph. We demonstrate that such an equilibrium can be reached… CONTINUE READING

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