English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper proposes an approach based on graph theory and combinatorialenumeration for sizing of movable energy resources (MERs) to improve theresilience of the electric power supply. The proposed approach determines thesize and number of MERs to be deployed in a distribution system to ensure thequickest possible recovery of the distribution system following an extremeevent. The proposed approach starts by generating multiple line outagescenarios based on fragility curves of distribution lines. The generatedscenarios are reduced using the k-means method. The distribution network ismodeled as a graph where distribution network reconfiguration is performed foreach reduced line outage scenario. The combinatorial enumeration technique isused to compute all combinations of total MER by size and number. The expectedload curtailment (ELC) corresponding to each locational combination of MERs isdetermined. The minimum ELCs of all combinations of total MER are used toconstruct a minimum ELC matrix, which is later utilized to determine optimalsize and number of MERs. The proposed approach is validated through a casestudy performed on a 33-node distribution test system.

Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement