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Author:Jin, Z., zhao, J., chakrabarti, S., ding, L., Terzija, V.
Abstract:In this Paper, A Hybrid Robust ForeCasting-Aided State Estimator (FASE) m88 live casino gamesm88 com live casino registeris Proposed That Can Handle BIMODAL GAUSSS MIXTURE (BGM) distribution of pmu noise, Bad Data and Sudden Load Changes. It is Shown in this Paper that the track method will be biased in the presence of pmu ENTS. To this end, The Generalized-Maximum Likelihood Cubature Kalman Filter (GM-CKF) is Developed and Compared with Existing GM-EKF, gm-ukf, CKF, EKF, UKF, And Static State Estimator (SSE) in Different m88 sports bettingm88 sports bettingSystem Operating SCENARIOS. It is Demonstrated that GM-CKF HAS Better than All Other s in the presence of bgm error, And is more stable than gm-ukf and ukf. However, Its Estimation Accuracy is Lower than the Other State Estimators Except for CKF in the Initial Estimation Stage and When An UNEXPED SUDDEN CHANGE Urs. This Result Also Means that the GM-CKF is Highly Sensitive to the Anomalies and is Condusive m88 live casino gamesm88 com live casino registerfor Anomaly Detection . Finally, A Hybrid Robust Fase Method is proposed that Balances Well The Trade-OFF Between GM-CKF and SSE. Benchmark Systems Demonstrate The Effectiveness As Well as the Robustness of the Proposed Hybrid Method.
Published in:International Journal of Electrical Power and Energy Systems (VOLUME: 120, SEPT. 2020)