TY - GEN
T1 - Impedance Profile Prediction for Grid-Connected VSCs based on Feature Extraction
AU - Wu, Yang
AU - Wu, Heng
AU - Cheng, Li
AU - Zhou, Jianyu
AU - Zhou, Zichao
AU - Chen, Minjie
AU - Wang, Xiongfei
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Impedance-based stability analysis has been widely adopted for voltage source converters (VSCs). Considering unknown controller parameters, impedance measurement based on frequency scan is always required for stability evaluation, which endures complicated implementation and can only be conducted under small amount of stable operating conditions. To solve this problem, a novel impedance profile prediction method for grid-connected VSCs has been proposed. A combined structure of stacked autoencoder (AE) and principal component analysis (PCA) is firstly proposed to extract VSC admittance feature under stable operating points, and a comprehensive VSC admittance set can be further predicted through searching on an enlarged feature space with unstable scenarios included. The stability can then be evaluated on the predicted VSC admittances with a stability boundary derived. Simulations and experiments prove the effectiveness of the proposed method.
AB - Impedance-based stability analysis has been widely adopted for voltage source converters (VSCs). Considering unknown controller parameters, impedance measurement based on frequency scan is always required for stability evaluation, which endures complicated implementation and can only be conducted under small amount of stable operating conditions. To solve this problem, a novel impedance profile prediction method for grid-connected VSCs has been proposed. A combined structure of stacked autoencoder (AE) and principal component analysis (PCA) is firstly proposed to extract VSC admittance feature under stable operating points, and a comprehensive VSC admittance set can be further predicted through searching on an enlarged feature space with unstable scenarios included. The stability can then be evaluated on the predicted VSC admittances with a stability boundary derived. Simulations and experiments prove the effectiveness of the proposed method.
KW - impedance-based stability analysis
KW - machine learning
KW - Voltage source converter
UR - http://www.scopus.com/inward/record.url?scp=85192703376&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85192703376&partnerID=8YFLogxK
U2 - 10.1109/APEC48139.2024.10509528
DO - 10.1109/APEC48139.2024.10509528
M3 - Conference contribution
AN - SCOPUS:85192703376
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 1627
EP - 1632
BT - 2024 IEEE Applied Power Electronics Conference and Exposition, APEC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024
Y2 - 25 February 2024 through 29 February 2024
ER -