A Novel Lyapunov Function for Transient Synchronization Stability Analysis of Grid-Following Converters | IEEE Journals & Magazine | IEEE Xplore

A Novel Lyapunov Function for Transient Synchronization Stability Analysis of Grid-Following Converters


Abstract:

Lyapunov's direct method plays an important role as a very commonly used analytical tool in studies on transient synchronization stability (TSS) of grid-following convert...Show More

Abstract:

Lyapunov's direct method plays an important role as a very commonly used analytical tool in studies on transient synchronization stability (TSS) of grid-following converters. To bridge the gap that energy-type Lyapunov function (LF) is only effective in the positive damping area and thus too conservative, a novel LF whose domain of definition includes part of negative damping area is proposed for TSS analysis of grid-following converters. Its corresponding TSS criterion and estimated region of attraction (ROA) exhibit significantly reduced yet still guaran-teed conservativeness, endowing them with more practical value and higher efficiency in analytical TSS assessment works.
Published in: IEEE Transactions on Power Systems ( Early Access )
Page(s): 1 - 4
Date of Publication: 25 February 2025

ISSN Information:

Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China

Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
Beijing National Research Center for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, China
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