A Probabilistic Fault Arc Reignition Model for Mv Distribution Networks

نویسندگان

  • G. Celli
  • E. Ghiani
  • F. Pilo
  • S. Tedde
چکیده

The paper presents a probabilistic fault arc reignition model for MV distribution networks. The model has been developed and implemented in the EMTP program, in order to evaluate the possible benefits of enlarging the time delay before the first fast reclosure, in terms of reducing the probability of fault reignition and, thus, avoiding longer interruptions. The application of the model in simulating realistic MV networks shows how an enlarged reclosing time may have a significant impact in increasing the number of selfextinguish faults, especially in transient double-phase faults inside metal enclosed electrical installations.

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تاریخ انتشار 2011