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Improved reachability analysis for VSC-MTDC integrated offshore wind farms based on adaptive parameter optimization

Gao, Wen, Xiahou, Kaishun, Liu, Yang, Li, Zhigang, Li, Chuanyue, Liang, Jun ORCID: https://orcid.org/0000-0001-7511-449X and Wu, Q. H. 2026. Improved reachability analysis for VSC-MTDC integrated offshore wind farms based on adaptive parameter optimization. IEEE Transactions on Sustainable Energy 17 (3) , pp. 3124-3137. 10.1109/tste.2026.3665816

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Abstract

To address the challenges presented by the complex nonlinear dynamics and limited disturbance resilience of offshore wind farms (OWFs) integrated via voltage source converter based multi-terminal high voltage direct current (VSC-MTDC) system under large disturbances, an improved reachability analysis method is proposed to capture dynamic behaviors of the system. The analysis framework encompasses: 1) high-dimensional nonlinear differential and hybrid models of VSC-MTDC integrated OWFs system are constructed based on Kron reduction method to enhance computational efficiency and mitigate the limitations imposed by algebraic constraints; 2) an adaptive time-step optimization algorithm is implemented to further improve computational efficiency while enhancing the capability to capture both transient and steady-state dynamics of hybrid system; 3) the improved reachability algorithm is designed to quantitatively analyze the operational states of VSC-MTDC integrated OWFs system under uncertainties and varying operating conditions. Case studies on VSC-MTDC integrated OWFs system are conducted to demonstrate the effectiveness of the proposed method in revealing complex nonlinear characteristics and safety verification under large disturbances.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Schools > Engineering
Additional Information: License information from Publisher: LICENSE 1: URL: https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html, Start Date: 2026-01-01
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1949-3029
Date of First Compliant Deposit: 2 April 2026
Date of Acceptance: 14 February 2026
Last Modified: 04 Aug 2026 13:45
URI: https://orca.cardiff.ac.uk/id/eprint/185452

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