Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/30479
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Patig, Alice | - |
dc.contributor.author | Stanojev, Ognjen | - |
dc.contributor.author | Aristidou, Petros | - |
dc.contributor.author | Kiprakis, Aristides | - |
dc.contributor.author | Hug, Gabriela | - |
dc.date.accessioned | 2023-09-22T06:02:09Z | - |
dc.date.available | 2023-09-22T06:02:09Z | - |
dc.date.issued | 2022-10-10 | - |
dc.identifier.citation | IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022, Novi Sad, Serbia, 10 - 12 October 2022 | en_US |
dc.identifier.isbn | 9781665480321 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/30479 | - |
dc.description.abstract | The gradual decommissioning of fossil fuel-driven power plants, that traditionally provide most operational flexibility in power systems, has led to more frequent grid stability issues. To compensate for the lack of flexible resources, Distributed Energy Resources (DERs) in distribution networks can be employed. To facilitate the use of DERs, the aggregated flexibility in a distribution grid is commonly represented on a PQ-plane displaying the feasible active and reactive power exchange with the upstream grid. This paper proposes a fast feasible operating region mapping mechanism that utilizes a linear power flow approximation in combination with linearized generator, current, and voltage constraints to construct a high-dimensional polyhedral feasible set of DER power injections. The obtained polytope is projected onto the PQ-plane using Fourier-Motzkin Elimination to represent the aggregate network flexibility. Additionally, uncertainty in DER generation is addressed using chance-constraints. Our analysis of a modified 33-bus IEEE test system demonstrates that the proposed method obtains more accurate approximations than former geometric methods and is ten times faster than the tested optimization-based method. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | IEEE PES Innovative Smart Grid Technologies Conference Europe | 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 | active distribution networks | en_US |
dc.subject | distributed energy resources | en_US |
dc.subject | flexibility computation | en_US |
dc.subject | TSO-DSO coordination | en_US |
dc.title | Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Eth, Eeh - Power Systems Laboratory | en_US |
dc.collaboration | University of Edinburgh | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Switzerland | en_US |
dc.country | United Kingdom | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.identifier.doi | 10.1109/ISGT-Europe54678.2022.9960351 | en_US |
dc.identifier.scopus | 2-s2.0-85143803967 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85143803967 | - |
cut.common.academicyear | 2022-2023 | 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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