Virtual elastic coupling control of grid-forming wind farms for power oscillation suppression

Xiangyu Zhang, Yabo Cao, Huazhi Liu, Yuan Fu, Yongxuan Huang and Yonggang Li

Energy, 2025, vol. 335, issue C

Abstract: With the increasing number of renewable energy units, the issue of inconsistent control responses among multiple grid-connected generators has become prominent. Properly grouping wind turbines to form multiple virtual elastic couplings is key to achieving efficient oscillation energy transfer in power systems, thereby creating an integrated support effect. This paper defines virtual elastic couplings between the VSGs and synchronous generators (SGs) and establishes a dynamic model of a power system with multiple degrees of freedom using these virtual elastic couplings. Based on the analysis of amplitude-frequency characteristics of the SG's rotor angle, a novel control system of VSGs with multiple virtual elastic couplings is designed. By optimizing multiple virtual elastic couplings, the electrical distances of wind turbines are compensated for consistent power response, avoiding oscillations between wind turbines that are close in distance. Moreover, to further improve the overall effectiveness of wind turbines in a regional network for oscillation suppression, a novel multiple virtual elastic couplings control scheme of the VSGs is proposed, regulating wind farms with long electrical distances to obtain appropriate degree of freedom. Finally, the proposed control strategy is tested on a controller hardware-in-the-loop platform and a New England simulation system with a high proportion of wind power. The test results demonstrate that the overall effectiveness of wind turbines for oscillation suppression can be formed through the optimization of multiple virtual elastic couplings under the proposed control strategy, thus improving the support ability of wind turbines for system dynamic stability.

Keywords: Degree of freedom; Virtual synchronous generator; Consistent response; Virtual elastic coupling; Power oscillation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225038228
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:335:y:2025:i:c:s0360544225038228

DOI: 10.1016/j.energy.2025.138180

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().