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This paper presents a technique comprising a robust extended complex Kalman filter and a sliding-surface-enhanced fuzzy adaptive controller (RECKF-FAC) for frequency and amplitude estimations of distorted signals in a power system. With the aid of fuzzy theory, the proposed approach is more effective for solving the uncertainty of frequency estimation. The robust extended complex Kalman filter (RECKF)...
This paper presents an extended complex Kalman filter artificial neural network for bad-data detection in a power system. The proposed method not only can improve one-by-one detection using the traditional approach as well as enhance its performances. It uses complex-type state variables as the link weighting to largely reduce nodes number and converging speed. In other words, it not only can largely...
This paper proposes to use robust extended complex Kalman filter (ECKF) for improving frequency estimation of distorted power system signals. Generally, abnormal data obtained from measurements may cause noises and disturbances as well as affect the accuracy of frequency estimation in a power system. Thus, the proposed method is employed to suppress the abnormalities from abnormal data of measurements...
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