Wen Gao;Kaishun Xiahou;Yang Liu;Zhigang Li;Chuanyue Li;Jun Liang;Q. H. Wu
{"title":"Improved Reachability Analysis for VSC-MTDC Integrated Offshore Wind Farms Based on Adaptive Parameter Optimization","authors":"Wen Gao;Kaishun Xiahou;Yang Liu;Zhigang Li;Chuanyue Li;Jun Liang;Q. H. Wu","doi":"10.1109/TSTE.2026.3665816","DOIUrl":null,"url":null,"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.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"17 3","pages":"3124-3137"},"PeriodicalIF":10.3000,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Sustainable Energy","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11397555/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/17 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The IEEE Transactions on Sustainable Energy serves as a pivotal platform for sharing groundbreaking research findings on sustainable energy systems, with a focus on their seamless integration into power transmission and/or distribution grids. The journal showcases original research spanning the design, implementation, grid-integration, and control of sustainable energy technologies and systems. Additionally, the Transactions warmly welcomes manuscripts addressing the design, implementation, and evaluation of power systems influenced by sustainable energy systems and devices.