Adaptive Weighted Ridge Regression Estimator for Time-Varying Sensitivity Identification

IEEE TRANSACTIONS ON POWER SYSTEMS(2024)

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摘要
This letter proposes an adaptive weighted ridge regression estimator for the identification of time-varying sensitivity. By decoupling the effect of forgetting factor and ridge parameter, we develop the online adaptive rules for these two parameters via alternating optimization. The proposed estimator exhibits not only a good tracking capability but also low steady-state misalignment.
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关键词
Sensitivity,Steady-state,Optimization,Adaptation models,Estimation,Time-varying systems,Power systems,Adaptive ridge regression,online identification,time-varying sensitivity
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