Optimal planning of renewable-based community energy system for island-mode operation during prolonged outages

Laiz Souto

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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Abstract

Energy communities are emerging as important local actors to help accelerate decarbonisation of the energy sector. By increasing uptake of distributed generation from renewable energy sources, energy communities can take advantage of the benefits provided by local clean energy usage in different ways. In this context, this paper presents a strategy for optimal planning of renewablebased community energy systems for island-mode operation during prolonged outages. The proposed method is formulated as a mixed-integer quadratic problem aimed at minimising the expected energy not supplied subject to operating constraints of the network and resource constraints on the number of distributed generation units that can be installed in the network. Furthermore, it is demonstrated in a realistic network model using representative datasets of renewable energy and load demand profiles in Bristol, UK.
Original languageEnglish
Title of host publicationRenewable Power Generation and Future Power Systems Conference 2023 (RPG 2023 UK)
PublisherInstitution of Engineering and Technology (IET)
Pages184-187
Number of pages4
Volume2023
Edition29
ISBN (Electronic)9781839539978
DOIs
Publication statusPublished - 6 Mar 2024
EventIET Renewable Power Generation and Future Power Systems Conference 2023: IET Powering Net Zero - Glasgow, United Kingdom
Duration: 14 Nov 202317 Nov 2023
https://renewablepower.theiet.org/

Publication series

NameIET Conference Proceedings
PublisherIET
ISSN (Print)2732-4494

Conference

ConferenceIET Renewable Power Generation and Future Power Systems Conference 2023
Country/TerritoryUnited Kingdom
CityGlasgow
Period14/11/2317/11/23
Internet address

Bibliographical note

Publisher Copyright:
© The Institution of Engineering & Technology 2023.

Keywords

  • community resilience
  • distributed generation
  • power distribution networks
  • renewable energy
  • power system resilience

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