Kalman filtering with a new state-space model for three-phase systems: Application to the identification of symmetrical components
作者： Anh Tuan Phan , Gilles Hermann , Patrice Wira
DOI: 10.1109/EAIS.2015.7368807
关键词:
摘要: In electrical energy transportation challenges, power quality issues like reducing harmonic pollution, reactive and load unbalance, necessarily have to identify the symmetrical components of three phases in a fast precise way. This paper introduces new state-space model be used with an Extended Kalman Filter (EKF) order estimate real-time distorted time-changing systems. The proposed is therefore able detect quantify unbalance general three-phase Indeed, system, i.e., their amplitude phase angle values, can deduced at each iteration from model. effectiveness method has been evaluated. Results comparisons online identification show efficiency for disturbed changing
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