Roles of dynamic state estimation in power system modeling, monitoring and operation
Version 2 2024-06-05, 05:32
Version 1 2020-10-01, 16:50
journal contribution
posted on 2024-06-05, 05:32 authored by J Zhao, M Netto, Z Huang, Samson YuSamson Yu, A Gomez-Exposito, S Wang, I Kamwa, S Akhlaghi, L Mili, V Terzija, APS Meliopoulos, B Pal, AK Singh, A Abur, T Bi, A RouhaniRoles of dynamic state estimation in power system modeling, monitoring and operation
History
Journal
IEEE Transactions on Power SystemsVolume
36Pagination
2462-2472Publisher DOI
ISSN
0885-8950eISSN
1558-0679Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
3Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
Keywords
Science & TechnologyTechnologyEngineering, Electrical & ElectronicEngineeringElectronic mailObservabilityPower system dynamicsState estimationKalman filtersPhasor measurement unitsEnergy managementDynamic state estimationkalman filteringconverter interfaced generationlow inertiamonitoringparameter estimationpower system stabilitystatic state estimationsynchronous machinessynchrophasor measurementsUNSCENTED KALMAN FILTERPARAMETER-ESTIMATIONROTORCONVERGENCECOHERENCY4009 Electronics, sensors and digital hardware
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