Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Optimal allocation of grid-forming and grid-following WTGs for stable weak grid integration

Wang, Yining, Xiang, Wang, Zhang, Haobo, Shi, Xiaojie, Wen, Jinyu, Chao, Wujie, Huang, Junwei and Dai, Liyu 2025. Optimal allocation of grid-forming and grid-following WTGs for stable weak grid integration. CSEE Journal of Power and Energy Systems 10.17775/CSEEJPES.2024.03460

[thumbnail of Optimal_allocation_of_grid-forming_and_grid-following_WTGs_for_stable_weak_grid_integration.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview

Abstract

Replacing grid-following wind turbine generators (GFL WTGs) with grid-forming (GFM) WTGs can improve stability when integrating into weak power grids, but an excessive replacement is not reasonable with the issues such as equipment damage, ride-through failure and interactions of GFM WTGs. The existing allocation methods for GFM WTGs mainly focus on small signal stability, while ignoring the potential capacity exceeding problem caused by AC voltage support, which may result in inaccurate allocation results. Therefore, this paper proposes an allocation method considering the WTG capacity limits and small-signal stability. To determine whether the capacity limits of WTGs are met, the output power calculation method is adopted to determine the existence of steady-state operation points of all WTGs. Moreover, based on the smallsignal stability analysis, the shift of system dominant modes are monitored to assess system adaptability as the grid strength changes. Combining the above two factors, an optimal GFM WTGs allocation method is developed. On this basis, the influence factors such as active power variation, locations of GFM WTGs, Q-V droop control, and grid connection distance are analyzed. Finally, the proposed optimal allocation method for GFM WTGs is verified under various operation scenarios.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Schools > Engineering
Publisher: IEEE
ISSN: 2096-0042
Date of First Compliant Deposit: 5 November 2025
Last Modified: 10 Nov 2025 12:49
URI: https://orca.cardiff.ac.uk/id/eprint/181752

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics