Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems

@article{Wali2022ExplainableSM,
  title={Explainable Signature-based Machine Learning Approach for Identification of Faults in Grid-Connected Photovoltaic Systems},
  author={Syed Abdul Wali and Irfan Ahmed Khan},
  journal={2022 IEEE Texas Power and Energy Conference (TPEC)},
  year={2022},
  pages={1-6}
}
  • S. Wali, I. Khan
  • Published 25 December 2021
  • Engineering
  • 2022 IEEE Texas Power and Energy Conference (TPEC)
Transformation of conventional power networks into smart grids with the heavy penetration level of renewable energy resources, particularly grid-connected Photovoltaic (PV) systems, has increased the need for efficient fault identification systems. Malfunctioning any single component in grid-connected PV systems may lead to grid instability and other serious consequences, showing that a reliable fault identification system is the utmost requirement for ensuring operational integrity. Therefore… 
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