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<?Pub Dtl?>This paper proposes a new application of the self-tuning least squares (STLS) estimation algorithm for understanding transient processes during a rejection experiment at a wind farm site in Denmark. The problems of simultaneous estimation of frequency and harmonic distortion in a wind farm are investigated. An adaptive and robust application of the STLS algorithm is proposed to estimate...
In this paper, an experiment involving a sudden generator disconnection in Faroe Islands power system is described. Three phase voltage and current signals were measured during the experiment. A novel parameter estimator based on Unscented Transformation (UT) and Kalman filter is implemented to estimate frequency and amplitude of the processed signals simultaneously. By avoiding the use of linearization...
This paper introduces a new digital signal processing algorithm for frequency and amplitude estimation based on Unscented Kalman Filter (UKF). The results of computer simulated and realistic synthetic data tests are presented. The initial parameters used during the tests were chosen carefully using an established parameter estimation method, the Self Tuning Least Square (STLS). It is concluded that...
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