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Probabilistic power flow (PPF) analysis was applied to investigate the effects of uncertain renewable energy sources, that is, solar and wind power plants, on power system operations. The PPF analysis based on the general polynomial chaos (gPC) expansion technique requires that the probability density function (PDF) of each random parameter is known in order to select the appropriate basis polynomial...
The Extended Kalman Filter (EKF) has been applied to estimate states and parameters of an induction motor. For this application, sometimes, the parameters estimated by the filter may violate their physical ranges. To overcome this drawback, in this paper, motor's parameters constraints are incorporated into the EKF. The proposed technique modifies the EKF computation loop such that if any estimated...
Applying the Extended Kalman Filter (EKF) technique to estimate states and parameters of an induction motor usually requires information about the stator currents, voltages, and sometimes the rotor rotating speed is also utilized. In many usage conditions, the stator voltages have constant magnitude and frequency. According to this observation, in this work, the EKF based technique for estimating...
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