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Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing
1
School of Electronics and Electrical Engineering (United Kingdom)
- University of Leeds (Woodhouse Lane, Leeds LS2 9JT - United Kingdom)
2
L2S - Laboratoire des signaux et systèmes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)
- CNRS - Centre National de la Recherche Scientifique (France)
- CentraleSupélec (3, rue Joliot Curie, Plateau de Moulon, 91192 GIF-SUR-YVETTE Cedex - France)
- UP11 - Université Paris-Sud - Paris 11 (Bâtiment 300 - 91405 Orsay cedex - France)
Document type :
Journal articles
Complete list of metadatas
https://hal-centralesupelec.archives-ouvertes.fr/hal-02419404
Contributor : Myriam Baverel <>
Submitted on : Thursday, December 19, 2019 - 2:31:30 PM
Last modification on : Monday, January 13, 2020 - 1:19:11 AM
Contributor : Myriam Baverel <>
Submitted on : Thursday, December 19, 2019 - 2:31:30 PM
Last modification on : Monday, January 13, 2020 - 1:19:11 AM
Identifiers
- HAL Id : hal-02419404, version 1
- DOI : 10.1002/acs.3006
Collections
CENTRALESUPELEC | SUP_LSS | SUP_SYSTEMES | L2S | CNRS | UNIV-PARIS-SACLAY | TDS-MACS
Citation
Johannes Schiffer, Petros Aristidou, Romeo Ortega. Online Estimation of Power System Inertia Using Dynamic Regressor Extension and Mixing. IEEE Transactions on Power Systems, Institute of Electrical and Electronics Engineers, 2019, 34 (6), pp.4993 - 5001. ⟨10.1002/acs.3006⟩. ⟨hal-02419404⟩
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