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• W2483846476 abstract "Parameter estimation of synchronous generation systems is vital to the validation of power system dynamic analysis. Compared with the substantially investigated single-scenario parameter estimation, multi-scenario estimation is more advantageous in terms of estimation accuracy. This study proposes a systematic method for solving the challenges of implementing multi-scenario parameter estimation through four crucial steps. First, a novel method using trajectory sensitivity is proposed for multi-scenario parameter identifiability analysis. Scenarios are then ranked based on the scenario identifiability index with respect to the identifiable parameters. Third, a scenario decomposition strategy is developed by using the reduced-space interior point method to accelerate the parameter estimation procedure. Finally, a method based on Chi-square test is proposed for bad scenario detection and identification. In the case study, numerical experiments and field measurements are used to validate the effectiveness of the proposed method." @default.
• W2483846476 created "2016-08-23" @default.
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• W2483846476 date "2017-05-01" @default.
• W2483846476 modified "2023-09-23" @default.
• W2483846476 title "Multi-Scenario Parameter Estimation for Synchronous Generation Systems" @default.
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• W2483846476 doi "https://doi.org/10.1109/tpwrs.2016.2592540" @default.
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