dc.creator | Hoffmann, Melanie | es |
dc.creator | Chamorro, Harold R. | es |
dc.creator | Lotz, Marc René | es |
dc.creator | Maestre Torreblanca, José María | es |
dc.creator | Rouzbehi, Kumars | es |
dc.creator | Gonzalez-Longatt, Francisco | es |
dc.creator | Kurrat, Michael | es |
dc.creator | Alvarado-Barrios, Lázaro | es |
dc.creator | Sood, Vijay Kumar | es |
dc.date.accessioned | 2021-11-03T16:47:56Z | |
dc.date.available | 2021-11-03T16:47:56Z | |
dc.date.issued | 2020-12 | |
dc.identifier.citation | Hoffmann, M., Chamorro, H.R., Lotz, M.R., Maestre Torreblanca, J.M., Rouzbehi, K., Gonzalez-Longatt, F.,...,Sood, V.K. (2020). Grid Code-Dependent Frequency Control Optimization in Multi-Terminal DC Networks. Energies, 13 (24). Article number 6485. | |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/127040 | |
dc.description.abstract | The increasing deployment of wind power is reducing inertia in power systems.
High-voltage direct current (HVDC) technology can help to improve the stability of AC areas in
which a frequency response is required. Moreover, multi-terminal DC (MTDC) networks can be
optimized to distribute active power to several AC areas by droop control setting schemes that adjust
converter control parameters. To this end, in this paper, particle swarm optimization (PSO) is used
to improve the primary frequency response in AC areas considering several grid limitations and
constraints. The frequency control uses an optimization process that minimizes the frequency nadir
and the settling time in the primary frequency response. Secondly, another layer is proposed for the
redistribution of active power among several AC areas, if required, without reserving wind power
capacity. This method takes advantage of the MTDC topology and considers the grid code limitations
at the same time. Two scenarios are defined to provide grid code-compliant frequency control. | es |
dc.description.sponsorship | Australian Education International, Australian Government TEC2016-80242-P | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad DPI2016-75294-C2-2-R | es |
dc.format | application/pdf | es |
dc.format.extent | 21 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 13 (24). Article number 6485. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | MTDC | es |
dc.subject | Frequency control | es |
dc.subject | Low-inertia | es |
dc.subject | Wind power | es |
dc.subject | Grid code | es |
dc.subject | Non-synchronous generation | es |
dc.subject | Particle swarm optimization | es |
dc.title | Grid Code-Dependent Frequency Control Optimization in Multi-Terminal DC Networks | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | TEC2016-80242-P | es |
dc.relation.projectID | DPI2016-75294-C2-2-R | es |
dc.relation.publisherversion | http://dx.doi.org/10.3390/en13246485 | es |
dc.identifier.doi | 10.3390/en13246485 | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 13 | es |
dc.publication.issue | 24 | es |
dc.publication.initialPage | Article number 6485 | es |
dc.contributor.funder | Australian Education International, Australian Government | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |