Distribution systems resilience enhancement via pre- and post-event actions

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Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2019-12-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
8
549-556
Series
IET Smart Grid, Volume 2, issue 4
Abstract
Recently, resilience studies have become an indispensable tool for sustainable operation of energy infrastructure. In line with the need, this study presents a mathematical model to enhance resilience level of power distribution systems against natural disasters. The model is designed as a three-stage algorithm according to system operators’ actions. The first stage schedules pre-event actions. At this stage, forecasts about the approaching disaster as well as fragility curves of system components are used to identify failure probability of system components. The failure probabilities are used to trip out the lines as much as possible to defensively operate the distribution network, and advantages of alternatives such as distributed energy resources and normally-open switches are taken to serve critical loads. The second stage is to monitor system operating conditions during the event and identify the status of system components. The third stage mainly focuses on scheduling post-event actions. At this stage, based on real data about different elements of the network, available alternatives are taken to restore as much critical load as possible. To evaluate performance of the model, it is applied to a distribution test system and the results are discussed in detail.
Description
Keywords
Distributed power generation, Internet, Scheduling, Disasters, Distributed processing, Distribution networks, Switchgear, Probability, Failure analyses
Other note
Citation
Taheri, B, Safdarian, A, Moeini-Aghtaie, M & Lehtonen, M 2019, ' Distribution systems resilience enhancement via pre- and post-event actions ', IET Smart Grid, vol. 2, no. 4, pp. 549-556 . https://doi.org/10.1049/iet-stg.2019.0035