Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19720
DC FieldValueLanguage
dc.contributor.authorStanojev, Ognjen-
dc.contributor.authorMarkovic, Uros-
dc.contributor.authorVrettos, Evangelos-
dc.contributor.authorAristidou, Petros-
dc.contributor.authorCallaway, Duncan-
dc.contributor.authorHug, Gabriela-
dc.date.accessioned2021-02-12T09:50:19Z-
dc.date.available2021-02-12T09:50:19Z-
dc.date.issued2020-09-
dc.identifier.citation2020 International Conference on Smart Energy Systems and Technologies (SEST), 7-9 Sept. 2020, Istanbul, Turkeyen_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/19720-
dc.description.abstractDue to the rising shares of renewable energy sources, future power systems are facing significant changes in control complexity and system inertia, thus making frequency regulation in power systems more challenging. This paper proposes a novel control scheme based on model predictive control for grid-forming Voltage Source Converters (VSCs), with the goal of exploiting their fast response capabilities and available DC-side energy storage to provide fast frequency control service to the system. An observer based on support vector machine regression detects and estimates system disturbances using only locally available measurements at each VSC. Frequency evolution is then anticipated through state-space predictions and the VSC power output is adjusted to compensate the disturbance and prevent frequency threshold violations. The proposed control scheme is evaluated and its effectiveness demonstrated through detailed time-domain simulations of the IEEE 39-bus test system.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.subjectModel predictive controlen_US
dc.subjectVoltage source converteren_US
dc.subjectFrequency supporten_US
dc.subjectLow-inertia systemsen_US
dc.subjectSupport vector regressionen_US
dc.titleEnhanced MPC for Fast Frequency Control in Inverter-Dominated Power Systemsen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationETH Zurichen_US
dc.collaborationUC Berkeleyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.countrySwitzerlanden_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conference2020 International Conference on Smart Energy Systems and Technologies (SEST)en_US
dc.identifier.doi10.1109/SEST48500.2020.9203035en_US
cut.common.academicyear2020-2021en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.fulltextWith Fulltext-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-4429-0225-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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