Fault detection, classification and section identification on distribution network with D-STATCOM using ANN

  • Netam G
  • Yadav A
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Abstract

This paper proposed a novel noncontact technology of operation-state monitoring based on magnetic-field sensing for high-voltage transmission lines, which can simultaneously measure both electrical and spatial parameters in real time. This technology was derived from research on themagnetic-field distribution at the ground levelwhen the transmission lines operate in different states, including sagging, galloping, and current imbalance. Two typical models of high-voltage three-phase transmission lines were simulated, and the resulting magnetic fields were calculated. The correlation between the magnetic-field variations and the operation states were analyzed. Based on such correlation, a source reconstructionmethod was developed to reconstruct the spatial and electrical parameters from the magnetic field emanated by the overhead transmission lines. The reconstruction results for the 500-kV and 220-kV transmission lines verify the feasibility and practicality of this novel noncontact transmission-line monitoring technology based on magnetic-field sensing.

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Netam, G., & Yadav, A. (2016). Fault detection, classification and section identification on distribution network with D-STATCOM using ANN. International Journal of Advanced Technology and Engineering Exploration, 3(23), 150–157. https://doi.org/10.19101/ijatee.2016.323001

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