Work

Multiresolution Dynamic Mode Decomposition for Wideband Harmonic Instability Identification

Year: 2024

Type: article

Abstract: Mode identification of harmonic instability in modern power electronics-dominated power grids facilitates oscillation detection, stability assessment and further damping control. However, complex oscillation components and possible uncharacteristic transient variations of the signal pose challenges to robust and accurate mode identification of oscillation signals. In this article, an identification method based on multiresolution dynamic mode decomposition (MR-DMD) algorithm is leveraged to extract dominant system modes with time-frequency information at multiple frequency decomposition levels and temporal subsets, thereby improving robustness in handling missing data. In addition, key algorithm parameters are defined and derived to reveal their impact on the algorithm's performance, while a framework of parameter design is further developed to optimize the identification results. The proposed method and framework are verified and interpreted under diverse oscillation scenarios using real measurement data from experimental conditions.

Source: IEEE Transactions on Power Electronics

DOI: 10.1109/tpel.2024.3519978

Authors: Rui Kong, Subham Sahoo, Yubo Song, Yi Xiao, Chao Gao, Frede Blaabjerg

Institutions: Aalborg University, Zhejiang University, Chinese University of Hong Kong

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

Funder: China Scholarship Council