MV Cable Modeling for Application in the Digital Twin of a Windfarm

被引:0
|
作者
Onederra, O. [1 ,2 ]
Asensio, F. J. [1 ,2 ]
Eguia, P. [1 ,2 ]
Perea, E. [3 ]
Pujana, A. [3 ]
Martinez, L. [3 ]
机构
[1] Univ Basque Country, UPV EHU, Plaza Ing Torres Quevedo 1, Bilbao 48013, Spain
[2] Joint Res Lab Offshore Renewable Energy JRL ORE, Bilbao, Spain
[3] TECNALIA, Parque Tecnol Bizkaia C Geldo Edif 700, Derio 48160, Spain
来源
7TH INTERNATIONAL CONFERENCE ON CLEAN ELECTRICAL POWER (ICCEP 2019): RENEWABLE ENERGY RESOURCES IMPACT | 2019年
关键词
cable; digital twin; modelling; remaining lifetime;
D O I
暂无
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The digital models of windfarms provide a useful tool when monitoring and controlling wind generators digitally and remotely, allowing its maintenance and optimization, thus reducing the costs due to downtime and increasing the reliability of the elements that intervene in the conversion of wind energy to electric power. These aspects acquire even greater relevance when it comes to remote locations such as offshore wind farms. In this sense, this paper describes a MV cable model aimed at emulating its behavior and lifetime in order to carry out a preventive maintenance. The model is based on a combination of a dynamic MV cable model and a PCHIP-based interpolation algorithm, which have been developed in open source software OpenModelica.
引用
收藏
页码:617 / 622
页数:6
相关论文
共 50 条
  • [1] Theory of digital twin modeling and its application
    Tao F.
    Zhang H.
    Qi Q.
    Xu J.
    Sun Z.
    Hu T.
    Liu X.
    Liu T.
    Guan J.
    Chen C.
    Meng F.
    Zhang C.
    Li Z.
    Wei Y.
    Zhu M.
    Xiao B.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (01): : 1 - 15
  • [2] Digital twin modeling
    Tao, Fei
    Xiao, Bin
    Qi, Qinglin
    Cheng, Jiangfeng
    Ji, Ping
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 64 : 372 - 389
  • [3] Digital twin for cutting tool: Modeling, application and service strategy
    Xie, Yang
    Lian, Kunlei
    Liu, Qiong
    Zhang, Chaoyong
    Liu, Hongqi
    JOURNAL OF MANUFACTURING SYSTEMS, 2021, 58 : 305 - 312
  • [4] Digital twin modeling technology and intelligent application of CNC machine tool
    Sun X.
    Zhang F.
    Zhou Z.F.
    Wang J.
    Huang Z.
    Xue R.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2024, 30 (03): : 825 - 836
  • [5] Application of PIML Methods for Steam Turbine Modeling in Digital Twin Development
    Matinyan, A.M.
    Novickii, D.A.
    Nekludov, A.V.
    Posokhov, Iu. M.
    Power Technology and Engineering, 2024, 58 (03) : 500 - 506
  • [6] An Effective Digital Twin Modeling Method for Infrastructure: Application to Smart Pumping Stations
    Feng, Fan
    Liu, Zhansheng
    Shi, Guoliang
    Mo, Yanchi
    BUILDINGS, 2024, 14 (04)
  • [7] Data-Centric Workshop Digital Twin Conceptual Modeling Method And Application
    Li, Jiqi
    Liu, Guohua
    2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2022, : 92 - 99
  • [8] A digital twin modeling and application for gear rack drilling rigs lifting system
    Wang, Jiangang
    Shi, Lei
    Feng, Ding
    Liang, Jinli
    Hou, Lingxia
    Miao, Enming
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [9] Key Technology and Application of Digital Twin Modeling for Deformation Control of Investment Casting
    Guan Bang
    Wang Donghong
    Ma Hongbo
    Shu Da
    Ding Zhengyi
    Cui Jiayu
    Sun Baode
    ACTA METALLURGICA SINICA, 2024, 60 (04) : 548 - 558
  • [10] Digital twin-driven modeling and application of carbon emission for machine tool
    Li, Chengchao
    Ge, Weiwei
    Huang, Zixuan
    Zhang, Qiongzhi
    Li, Hongcheng
    Cao, Huajun
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 133 (11-12) : 5595 - 5609