@inproceedings{Yang:2016,
author = {Yang, Y and Tindemans, S and Strbac, G},
title = {An implicit switching model for distribution network reliability assessment},
url = {http://hdl.handle.net/10044/1/30482},
year = {2016}
}

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TY  - CPAPER
AB  - Modern  active  distribution  networks  make  use  of intelligent  switching  actions  to  restore  supply  to  end  users  after faults.  This complicates the reliability analysis of such networks, as the number of possible switching actions grows exponentially with network size. This paper proposes an approximate reliability analysis method where switching actions are modelled implicitly. It  can  be  used  graphically  as  a  model  reduction  method,  and simulated  using  time-sequential  or  state  sampling  Monte  Carlo methods.  The  method  is illustrated  on  a  simple  distribution network, and reliability indices are reported both as averages and distributions. Large speedups result from the use of biased non-sequential  Monte  Carlo  sampling–a  method  that  is  hard  to combine with explicit switching models.
AU  - Yang,Y
AU  - Tindemans,S
AU  - Strbac,G
PY  - 2016///
TI  - An implicit switching model for distribution network reliability assessment
UR  - http://hdl.handle.net/10044/1/30482
ER  - 

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