An implicit switching model for distribution network reliability assessment

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Title: An implicit switching model for distribution network reliability assessment
Authors: Yang, Y
Tindemans, S
Strbac, G
Item Type: Conference Paper
Abstract: 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 switch ing models.
Issue Date: 20-Jun-2016
Date of Acceptance: 10-Feb-2016
URI: http://hdl.handle.net/10044/1/30482
ISBN: 978-88-941051-0-0
Copyright Statement: © 2016 Power Systems Computation Conference
Sponsor/Funder: Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/I031650/1
Conference Name: 19th Power Systems Computation Conference (PSCC)
Publication Status: Accepted
Start Date: 2016-06-20
Finish Date: 2016-06-24
Conference Place: Genoa, Italy
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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