Impedance Profile Prediction for Grid-Connected VSCs based on Feature Extraction

Yang Wu*, Heng Wu*, Li Cheng, Jianyu Zhou, Zichao Zhou, Minjie Chen, Xiongfei Wang*

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE Applied Power Electronics Conference and Exposition, APEC 2024
Number of pages6
PublisherIEEE Signal Processing Society
Publication date2024
Pages1627-1632
ISBN (Electronic)9798350316643
DOIs
Publication statusPublished - 2024
Event39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024 - Long Beach, United States
Duration: 25 Feb 202429 Feb 2024

Conference

Conference39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024
Country/TerritoryUnited States
CityLong Beach
Period25/02/202429/02/2024
SponsorIEEE Industry Applications Society (IAS), IEEE Power Electronics Society (PELS), Power Sources Manufacturers Association (PSMA)
SeriesConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
ISSN1048-2334

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • impedance-based stability analysis
  • machine learning
  • Voltage source converter

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