kth.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
High-Level Resilience Strategizing Using Data-Driven Inputs
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-6745-4918
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-3014-5609
Vattenfall - Sweden.
2023 (English)In: IET Conference Proceedings, Institution of Engineering and Technology (IET) , 2023, p. 2973-2977Conference paper, Published paper (Other academic)
Abstract [en]

Resilience in the electrical grid is of growing concern due to worsening weather patterns, heightened cyber-physical connectivity, and increased penetration of non-dispatchable generators. High-level strategic decisions about the commitment of flexibility resources must therefore be made between prioritizing short-term profits through ancillary services and minimizing the impacts of High Impact Low Probability (HILP) events. A Finite State Machine (FSM) is proposed to model these high level decisions in terms of Normal, Alert, Critical, Islanded and Blackout states. Transitions are triggered by the Transmission System Operator (TSO), Distribution System Operation (DSO) or the proposed Resilience Strategist (RS) depending on the expected vulnerability to a forecasted HILP event. This work therefore provides an overview of the operating conditions contained in the FSM as well as the role and functionality of the RS.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET) , 2023. p. 2973-2977
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-342406DOI: 10.1049/icp.2023.0952Scopus ID: 2-s2.0-85181535677OAI: oai:DiVA.org:kth-342406DiVA, id: diva2:1828922
Conference
27th International Conference on Electricity Distribution, CIRED 2023, Rome, Italy, Jun 12 2023 - Jun 15 2023
Note

QC 20240118

Available from: 2024-01-17 Created: 2024-01-17 Last updated: 2024-02-21Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Weiss, XavierNordström, Lars

Search in DiVA

By author/editor
Weiss, XavierNordström, Lars
By organisation
Electric Power and Energy Systems
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 55 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf