• Corpus ID: 215828356

Hot-Starting the Ac Power Flow with Convolutional Neural Networks

@article{Chen2020HotStartingTA,
  title={Hot-Starting the Ac Power Flow with Convolutional Neural Networks},
  author={Liang-Hung Chen and Joseph Euzebe Tate},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.09342}
}
Obtaining good initial conditions to solve the Newton-Raphson (NR) based ac power flow (ACPF) problem can be a very difficult task. In this paper, we propose a framework to obtain the initial bus voltage magnitude and phase values that decrease the solution iterations and time for the NR based ACPF model, using the dc power flow (DCPF) results and one dimensional convolutional neural networks (1D CNNs). We generate the dataset used to train the 1D CNNs by sampling from a distribution of load… 
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