Square-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems
Version 2 2024-06-05, 05:32Version 2 2024-06-05, 05:32
Version 1 2020-04-28, 14:22Version 1 2020-04-28, 14:22
journal contribution
posted on 2024-06-05, 05:32 authored by Samson YuSamson Yu, X Fan, TK Chau, Hieu TrinhHieu Trinh, S NahavandiSquare-Root Sigma-Point Filtering Approach to State Estimation for Wind Turbine Generators in Interconnected Energy Systems
History
Journal
IEEE Systems JournalVolume
15Pagination
1557-1566Location
Piscatawy, N.J.ISSN
1932-8184eISSN
1937-9234Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
2Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCUsage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicOperations Research & Management ScienceTelecommunicationsComputer ScienceEngineeringDoubly fed induction generatorsHeuristic algorithmsKalman filtersPower system dynamicsState estimationWind turbinesDoubly fed induction generatordynamic state estimationinterconnected energy system square-root Kalman filtersunscented Kalman filterKALMAN FILTER090602 Control Systems, Robotics and Automation090607 Power and Energy Systems Engineering (excl Renewable Power)090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)970109 Expanding Knowledge in EngineeringSchool of Engineering4008 Electrical engineering4009 Electronics, sensors and digital hardware
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