학술논문
Accuracy Assessment of Reduced- and Full-Order Virtual Synchronous Generator Models Under Different Grid Strength Cases
Document Type
Conference
Author
Source
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society Industrial Electronics Society, IECON 2022 – 48th Annual Conference of the IEEE. :1-6 Oct, 2022
Subject
Language
ISSN
2577-1647
Abstract
The virtual synchronous generator (VSG) has been extensively applied for the integration of distributed generators. For the benefit of analysis, both the reduced-order small-signal model (RSM) and full-order small-signal model (FSM) have been proposed; however, because of the different modeling approaches, the modeling accuracy may differ a lot. To provide a guideline for selecting a suitable model, an accuracy assessment has been conducted in this paper, where different grid strength cases and equilibrium points are considered. More specific, the eigenvalue analysis is adopted for comparing the dominant dynamics of the RSM and FSM. Afterwards, the responses of the RSM and FSM are compared with the nonlinear model (NM) in the Digsilent/Powerfactory to show the modeling accuracy. It has been found that the RSM is mainly suitable for the weak and relatively strong grids, while the FSM shows better accuracy in the case of an extremely strong grid and around the equilibrium point that is close to VSG’s rated output.