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Particle filter joint state and parameter estimation of dynamic power systems
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity. (Computational Renewables)
2016 (English)In: : IEEE Conference Publications / [ed] IEEE, 2016Conference paper (Refereed)
Place, publisher, year, edition, pages
2016.
Keyword [en]
State estimation, Power system dynamics, Power system stability
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-310708DOI: 10.1109/RTUCON.2016.7763152OAI: oai:DiVA.org:uu-310708DiVA: diva2:1057694
Conference
IEEE Conference 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
Projects
MIDAS
Funder
Swedish Energy Agency
Available from: 2016-12-19 Created: 2016-12-19 Last updated: 2017-01-03

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Uzunoglu, BahriUlker, Muhammed Akif
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