Parameter Identification of Synchronous Machine Based on Hilbert-Huang Transform

Introduces a novel technique-HHT to the electromagnetic parameter identification of synchronous machine. First of all, a new analysis method based on HHT is proposed to deal with short-circuit current data. It devises a time-space filtering using EMD and extracts the DC and fundamental component from the transient short-circuit current. This way overcomes the low-accuracy shortcoming of traditional method as well as the difficulty in choosing Wavelet, so it has high accuracy and strong self-adaptability. In addition, this article presents a technique using robust regression algorithm to analysis the DC current component, as well as a new algorithm based on Hilbert and NLO for the analysis of fundamental current component , consequently, realizes accurate identification of transient and subtransient parameters. Besides, to decrease the computation during the current component isolating, an alternative approach based on low-pass filtering and EMD is stated. The simulation and experimental results demonstrate the effectiveness of the proposed technique.