학술논문
Oscillation Mode Identification Method of Renewable Energy Stations Based on Dynamic Mode Decomposition with Control
Document Type
Conference
Author
Source
2023 4th International Conference on Advanced Electrical and Energy Systems (AEES) Advanced Electrical and Energy Systems (AEES), 2023 4th International Conference on. :587-591 Dec, 2023
Subject
Language
Abstract
This paper presents an oscillation mode analysis method based on Dynamic Mode Decomposition with Control (DMDc), utilizing measurement data obtained from renewable equipment stations. In this method, a small-amplitude disturbance signal is injected into the Point of Common Coupling (PCC). Three-phase voltage and current signals at the PCC are recorded after the system has reached a steady state. Subsequently, a data-driven approach is employed to construct a reduced-order model of the system, enabling the extraction of oscillation frequency and damping ratio information. Experimental validation has been performed to demonstrate the efficacy of this approach.