Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/30484
DC Field | Value | Language |
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dc.contributor.author | Karagiannopoulos, Stavros | - |
dc.contributor.author | Aristidou, Petros | - |
dc.contributor.author | Cai, Hanmin | - |
dc.contributor.author | Heer, Philipp | - |
dc.contributor.author | Hug, Gabriela | - |
dc.date.accessioned | 2023-09-22T08:35:21Z | - |
dc.date.available | 2023-09-22T08:35:21Z | - |
dc.date.issued | 2021-10-18 | - |
dc.identifier.citation | 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, Espoo, Finland, 18 - 21 October 2021 | en_US |
dc.identifier.isbn | 9781665448758 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/30484 | - |
dc.description.abstract | Distributed energy resources (DERs), such as photovoltaic units, wind turbines and batteries, are able to increase operational flexibility in Distribution Networks (DNs) that can be used to resolve power quality issues. Furthermore, the advances in metering infrastructure, such as the roll-out of smart meters in many countries worldwide, provides better observability of DNs. However, DERs in DNs usually belong to different stakeholders with alternative objectives that might even be conflicting (e.g., grid constraints are not considered by all). This paper presents a practical approach, based on a data-driven scheme, to safely use the DER operational flexibility and, at the same time, respect the objectives of individual households, network operators, and aggregators. First, a grid health estimator is constructed using Support-Vector Machines (SVM). Then, a real-time modification signal is used to alleviate network constraints violations. The performance of the proposed algorithm is demonstrated using the MV and LV European benchmark grids. | en_US |
dc.language.iso | en | en_US |
dc.rights | © IEEE | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Benchmarking | en_US |
dc.subject | Internet protocols | en_US |
dc.subject | Support vector machines | en_US |
dc.title | Safe Flexibility in Active Distribution Grids: A Practical Data-Driven Approach | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | ETH Zurich | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | Urban Energy Systems Laboratory | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Switzerland | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.relation.conference | Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 | en_US |
dc.identifier.doi | 10.1109/ISGTEurope52324.2021.9640135 | en_US |
dc.identifier.scopus | 2-s2.0-85123912701 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85123912701 | - |
cut.common.academicyear | empty | en_US |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-4429-0225 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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