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http://hdl.handle.net/1942/34552
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DC Field | Value | Language |
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dc.contributor.author | Moreno, Ricardo | - |
dc.contributor.author | Chamorro, Harold R. | - |
dc.contributor.author | Rye, Rebecca | - |
dc.contributor.author | Khazraj, Hesam | - |
dc.contributor.author | Gonzalez-Longatt, Francisco | - |
dc.contributor.author | Sood, Vijay K. | - |
dc.contributor.author | MARTINEZ, Wilmar | - |
dc.date.accessioned | 2021-07-26T12:14:35Z | - |
dc.date.available | 2021-07-26T12:14:35Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2021-07-12T09:53:01Z | - |
dc.identifier.citation | 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), p. 923 -928 | - |
dc.identifier.isbn | 978-1-7281-5635-4 | - |
dc.identifier.issn | 2163-5137 | - |
dc.identifier.uri | http://hdl.handle.net/1942/34552 | - |
dc.description.abstract | Estimation systems based on PMU (Phasor Measurement Unit) data are a power system requirement based on the increasing expansion over the past decades. Kalman filter has been proved to be an adequate method for state estimation and data-driven methods. This paper applies the Unscented Kalman Filter to estimate in real-time the rotor angles. This paper proposes a predicting window as a time interval to forecast the rotor angle using real-time information. Emulated PMU sampling data have been used for carrying the simulations and have been validated using the 9-IEEE buses test system. The results confirm the method and the performance of the estimation. | - |
dc.language.iso | en | - |
dc.relation.ispartofseries | Proceedings of the IEEE International Symposium on Industrial Electronics | - |
dc.title | Online Dynamic Assessment of System Stability using Unscented Kalman Filter | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | JUN 17-19, 2020 | - |
local.bibliographicCitation.conferencename | IEEE 29th International Symposium on Industrial Electronics (ISIE) | - |
local.bibliographicCitation.conferenceplace | ELECTR NETWORK | - |
dc.identifier.epage | 928 | - |
dc.identifier.spage | 923 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.isi | WOS:000612836800151 | - |
dc.contributor.orcid | Martinez, Wilmar/0000-0002-3050-1944; Gonzalez-Longatt, | - |
dc.contributor.orcid | Francisco/0000-0002-7157-9844; Khazraj, Hesam/0000-0003-3507-423X; SOOD, | - |
dc.contributor.orcid | VIJAY/0000-0003-3859-3799 | - |
local.provider.type | wosris | - |
local.bibliographicCitation.btitle | 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | - |
local.uhasselt.international | yes | - |
item.fulltext | No Fulltext | - |
item.accessRights | Closed Access | - |
item.contributor | Moreno, Ricardo | - |
item.contributor | Chamorro, Harold R. | - |
item.contributor | Rye, Rebecca | - |
item.contributor | Khazraj, Hesam | - |
item.contributor | Gonzalez-Longatt, Francisco | - |
item.contributor | Sood, Vijay K. | - |
item.contributor | MARTINEZ, Wilmar | - |
item.fullcitation | Moreno, Ricardo; Chamorro, Harold R.; Rye, Rebecca; Khazraj, Hesam; Gonzalez-Longatt, Francisco; Sood, Vijay K. & MARTINEZ, Wilmar (2020) Online Dynamic Assessment of System Stability using Unscented Kalman Filter. In: 2020 IEEE 29TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), p. 923 -928. | - |
Appears in Collections: | Research publications |
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