Resilience Metrics applied to Renewable Energy Communities

Adriana Mar; Pedro Pereira; João F. Martins

doi:10.1109/CPE-POWERENG58103.2023.10227398

Resilience Metrics applied to Renewable Energy Communities

Adriana Mar, Pedro Pereira, João F. Martins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

Energy Communities are a key stakeholder of modern electrical power grids. Operating an energy community is a challenging topic due to the involved uncertainties, complexities and often conflicting objectives. The aim of this paper is to present a group of metrics that is used to evaluate the capacity of an Energy Community to mantain the wellbeing of each community member when a grid fault occurs. One energy community will be modulated considering as consumption sources noncontrollable and controllable devices in each house and as power supply sources PV systems installed in community's houses as well as power from main grid or storage system. Genetic algorithms will be used with different cost functions to evaluate different scenarios.

Original language	English
Title of host publication	CPE-POWERENG 2023
Subtitle of host publication	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	5
ISBN (Electronic)	979-8-3503-0004-8
ISBN (Print)	979-8-3503-0005-5
DOIs	https://doi.org/10.1109/CPE-POWERENG58103.2023.10227398
Publication status	Published - 2023
Event	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia Duration: 14 Jun 2023 → 16 Jun 2023

Publication series

Name	Compatibility in Power Electronics (CPE)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)	2166-9538
ISSN (Electronic)	2166-9546

Conference

Conference	17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
Country/Territory	Estonia
City	Tallinn
Period	14/06/23 → 16/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy Effciency
Energy Resilience
Renewable Energy Communities
Resilience Metrics

Access to Document

10.1109/CPE-POWERENG58103.2023.10227398

Cite this

Mar, A., Pereira, P., & Martins, J. F. (2023). Resilience Metrics applied to Renewable Energy Communities. In CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering (Compatibility in Power Electronics (CPE)). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CPE-POWERENG58103.2023.10227398

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title = "Resilience Metrics applied to Renewable Energy Communities",

abstract = "Energy Communities are a key stakeholder of modern electrical power grids. Operating an energy community is a challenging topic due to the involved uncertainties, complexities and often conflicting objectives. The aim of this paper is to present a group of metrics that is used to evaluate the capacity of an Energy Community to mantain the wellbeing of each community member when a grid fault occurs. One energy community will be modulated considering as consumption sources noncontrollable and controllable devices in each house and as power supply sources PV systems installed in community's houses as well as power from main grid or storage system. Genetic algorithms will be used with different cost functions to evaluate different scenarios.",

keywords = "Energy Effciency, Energy Resilience, Renewable Energy Communities, Resilience Metrics",

author = "Adriana Mar and Pedro Pereira and Martins, \{Jo{\~a}o F.\}",

note = "info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB\%2F00066\%2F2020/PT\# info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP\%2F00066\%2F2020/PT\# Publisher Copyright: {\textcopyright} 2023 IEEE. ; 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 ; Conference date: 14-06-2023 Through 16-06-2023",

year = "2023",

doi = "10.1109/CPE-POWERENG58103.2023.10227398",

language = "English",

isbn = "979-8-3503-0005-5",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "CPE-POWERENG 2023",

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}

Mar, A , Pereira, P & Martins, JF 2023, Resilience Metrics applied to Renewable Energy Communities. in CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Compatibility in Power Electronics (CPE), Institute of Electrical and Electronics Engineers (IEEE), 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023, Tallinn, Estonia, 14/06/23. https://doi.org/10.1109/CPE-POWERENG58103.2023.10227398

Resilience Metrics applied to Renewable Energy Communities. / Mar, Adriana ; Pereira, Pedro ; Martins, João F.
CPE-POWERENG 2023: 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering. Institute of Electrical and Electronics Engineers (IEEE), 2023. (Compatibility in Power Electronics (CPE)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Resilience Metrics applied to Renewable Energy Communities

AU - Mar, Adriana

AU - Pereira, Pedro

AU - Martins, João F.

PY - 2023

Y1 - 2023

N2 - Energy Communities are a key stakeholder of modern electrical power grids. Operating an energy community is a challenging topic due to the involved uncertainties, complexities and often conflicting objectives. The aim of this paper is to present a group of metrics that is used to evaluate the capacity of an Energy Community to mantain the wellbeing of each community member when a grid fault occurs. One energy community will be modulated considering as consumption sources noncontrollable and controllable devices in each house and as power supply sources PV systems installed in community's houses as well as power from main grid or storage system. Genetic algorithms will be used with different cost functions to evaluate different scenarios.

AB - Energy Communities are a key stakeholder of modern electrical power grids. Operating an energy community is a challenging topic due to the involved uncertainties, complexities and often conflicting objectives. The aim of this paper is to present a group of metrics that is used to evaluate the capacity of an Energy Community to mantain the wellbeing of each community member when a grid fault occurs. One energy community will be modulated considering as consumption sources noncontrollable and controllable devices in each house and as power supply sources PV systems installed in community's houses as well as power from main grid or storage system. Genetic algorithms will be used with different cost functions to evaluate different scenarios.

KW - Energy Effciency

KW - Energy Resilience

KW - Renewable Energy Communities

KW - Resilience Metrics

UR - https://www.scopus.com/pages/publications/85171543619

U2 - 10.1109/CPE-POWERENG58103.2023.10227398

DO - 10.1109/CPE-POWERENG58103.2023.10227398

M3 - Conference contribution

AN - SCOPUS:85171543619

SN - 979-8-3503-0005-5

T3 - Compatibility in Power Electronics (CPE)

BT - CPE-POWERENG 2023

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023

Y2 - 14 June 2023 through 16 June 2023

ER -

Resilience Metrics applied to Renewable Energy Communities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this