@inproceedings{b5f0c665c3494ad7b78dc66f2f61fb0f,
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",
series = "Compatibility in Power Electronics (CPE)",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "CPE-POWERENG 2023",
address = "United States",
}
