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Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work
| dc.creator | Zhao, Junbo | es |
| dc.creator | Gómez Expósito, Antonio | es |
| dc.creator | Netto, Marcos | es |
| dc.creator | Mili, Lamine | es |
| dc.creator | Abur, Ali | es |
| dc.creator | Terzija, Vladimir | es |
| dc.date.accessioned | 2020-05-18T10:57:57Z | |
| dc.date.available | 2020-05-18T10:57:57Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | Zhao, J., Gómez Expósito, A., Netto, M., Mili, L., Abur, A. y Terzija, V. (2019). Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work. IEEE Transactions on Power Systems, 34 (4), 3188-3198. | |
| dc.identifier.issn | 0885-8950 | es |
| dc.identifier.uri | https://hdl.handle.net/11441/96836 | |
| dc.description.abstract | This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community. | es |
| dc.format | application/pdf | es |
| dc.format.extent | 10 p. | es |
| dc.language.iso | eng | es |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | es |
| dc.relation.ispartof | IEEE Transactions on Power Systems, 34 (4), 3188-3198. | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Dynamic state estimation | es |
| dc.subject | Kalman filtering | es |
| dc.subject | Synchrophasor measurements | es |
| dc.title | Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work | es |
| dc.type | info:eu-repo/semantics/article | es |
| dcterms.identifier | https://ror.org/03yxnpp24 | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Eléctrica | es |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/abstract/document/8624411 | es |
| dc.identifier.doi | 10.1109/TPWRS.2019.2894769 | es |
| dc.journaltitle | IEEE Transactions on Power Systems | es |
| dc.publication.volumen | 34 | es |
| dc.publication.issue | 4 | es |
| dc.publication.initialPage | 3188 | es |
| dc.publication.endPage | 3198 | es |
| Ficheros | Tamaño | Formato | Ver | Descripción |
|---|---|---|---|---|
| 1491863.pdf | 112.7Kb | 
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