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Estimating power system inertia using convolutional neural network

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Neural_Network_Inertia_Estimation

Estimating power system inertia using convolution neural network.

All of the python scripts are inside the "main code files" folder. A sample of frequency and ROCOF data have been included in the data folder for your reference. Please modify the input shape, size, and path to match your needs.

Dependencies

  1. pytorch
  2. numpy
  3. matplotlib
  4. h5py

Acknowledgement

If you use the code in any of your work, please cite the work as shown below:

A. Poudyal, U. Tamrakar, R. D. Trevizan, R. Fourney, R. Tonkoski, and T. M. Hansen, “Convolutional neural network-based inertia estimation using local frequency measurements,” in 52nd North American Power Symposium (NAPS), 2020