Work

Data-Light Oscillation Mode Identification for Fast Stability Assessment of Grid-Tied Converters

Year: 2025

Type: article

Abstract: Dynamic mode decomposition (DMD) is an effective data-driven oscillation mode identification method for instability identification in grid-tied converters. However, time-consuming computation and empirical setting of parameters limit its practical application in rapid stability assessment. This article introduces data-light dynamic mode decomposition (DL-DMD) by integrating the conventional dynamic mode decomposition (DMD) algorithm with harmonic state space theory, which significantly improves computational speed while providing a bandwidth-oriented interpretation for parameter selection in correspondence with the identifiable frequency range of modes. The effectiveness and advantages of the proposed method are verified through offline analysis and online tests based on an experimental platform.

Source: IEEE Transactions on Power Electronics

DOI: 10.1109/tpel.2025.3556387

Authors: Rui Kong, Subham Sahoo, Shuyu Ou, Xiangyu Meng, Guoqing Gao, Frede Blaabjerg

Institutions: Aalborg University, Southwest Jiaotong University

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission