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Development of Nottingham Arc Model for DC Series Arc Modeling in Photovoltaic Panels

  • Masoud Jalil
  • , Haidar Samet (Corresponding author)
  • , Teymoor Ghanbari
  • , Mohsen Tajdinian

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

This paper deals with driving effective DC series arc models from the original Nottingham arc model. The original Nottingham arc model has three constant parameters and suffers significant inaccuracy for modeling the series arc faults. To avoid the inaccuracy in the modeling, at first, a Nottingham model is developed that is relevant to voltage and current of the fault with three parameters including one constant model order for exponents of the current and two time-series coefficients. Also, to further improvement in the model's accuracy, a two-fold Nottingham model is proposed that is relevant to voltage and current of the fault with five parameters including two constant model orders for exponents of the current and three time-series coefficients. Finally, a full-time-variant Nottingham model is proposed that mathematically contains three time-series parameters including one time-variant model order of the current exponent. In the full-time-variant Nottingham model, the optimal parameters corresponding to each sliding window of data are utilized. In all the proposed models the arc coefficients are estimated using a new formulation using the least-squares error (LSE) technique. Verifying the effectiveness of the proposed models through actual data, the accuracy of the proposed models is compared with the original Nottingham model.
Original languageEnglish
Pages (from-to)13647-13655
Number of pages9
JournalIEEE Transactions on Industrial Electronics
Volume69
Issue number12
DOIs
Publication statusPublished - 1 Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Analytical models
  • Circuit faults
  • coefficient
  • Computational modeling
  • Data models
  • DC series arc
  • estimate
  • experimental
  • fault
  • Integrated circuit modeling
  • Mathematical models
  • models
  • Nottingham
  • photovoltaic
  • time-variant
  • Voltage
  • Coefficient
  • photovoltaic (PV)
  • dc series arc

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