MaWind - Tool for the Aggregation of Wind Farm Models

被引：0
|
作者：
Rudion, K. [1 ]
Styczynski, Z. A. [2 ]
Orths, A. [3 ]
Ruhle, O. [4 ]
机构：
[1] Otto VonGuericke Univ Magdegurg, Magdeburg, Germany
[2] Otto Von Guericke Univ, Fac Elect Engn & Informat Technol, Magdeburg, Germany
[3] Energinet dk Danish TSO, Frederiksberg, Denmark
[4] Siemens AG, Erlangen, Germany
来源：
2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11 | 2008年
关键词：
Power system; wind farm; model aggregation; dynamic simulation;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The existing software for the simulation of power system operation was mainly developed and optimized for the analysis of conventional systems that are characterized by a low number of large, central synchronous generators. New forms of power generation, like wind turbines, that are characterized by a high number of small units can not be analyzed effectively with this software. In this paper a new software tool, MaWind, for the aggregation of wind farm models for dynamic system analysis is described. The MaWind tool uses a new mathematical approach to represent wind generation in system analysis. The background of this method, the method itself and some representative results of the calculation with MaWind are presented in the paper. MaWind allows for significant reduction of the model complexity while retaining a good approximation of dynamic farm behavior at the same time.
引用
收藏
页码：552 / 559
页数：8
相关论文
共 50 条
  • [41] Aggregation models and small farm commercialization - A scoping review of the global literature
    Abraham, Mathew
    Chiu, Leslie Verteramo
    Joshi, Ekta
    Ilahi, Muhammad Ali
    Pingali, Prabhu
    FOOD POLICY, 2022, 110
  • [42] The Wind Farm
    Levett, John
    CRITICAL SURVEY, 2010, 22 (02) : 122 - 122
  • [43] Wake Deflection Control with Wind Direction Changes: Wind Tunnel Comparison of Different Wind Farm Flow Models
    Campagnolo, Filippo
    Schreiber, Johannes
    Bottasso, Carlo L.
    2020 AMERICAN CONTROL CONFERENCE (ACC), 2020, : 4817 - 4823
  • [44] Hybrid Data-model-driven Aggregation Equivalent Modeling Method for Wind Farm
    Wu, Lei
    Chao, Pupu
    Li, Gan
    Li, Weixing
    Li, Zhimin
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2022, 46 (15): : 66 - 74
  • [45] Aggregation Modeling Algorithm of PMSM Wind Farm Considering Submarine Cable Power Loss
    Shao, Haoshu
    Yan, Heming
    Cai, Xu
    Qin, Yao
    Zhang, Zhixiang
    2021 IEEE 12TH ENERGY CONVERSION CONGRESS AND EXPOSITION - ASIA (ECCE ASIA), 2021, : 1169 - 1174
  • [46] Optimization of a wind farm by coupled actuator disk and mesoscale models to mitigate neighboring wind farm wake interference from repowering perspective
    Khan, Mehtab Ahmad
    Javed, Adeel
    Shakir, Sehar
    Syed, Abdul Haseeb
    APPLIED ENERGY, 2021, 298
  • [47] Multiple-node Models of Asynchronous Wind Turbines in Wind Farm for Load Flow Analysis
    Wang, Jianxue
    Huang, Chengchen
    Zobaa, Ahmed F.
    ELECTRIC POWER COMPONENTS AND SYSTEMS, 2016, 44 (02) : 135 - 141
  • [48] Wind energy-harvesting technologies and recent research progresses in wind farm control models
    Desalegn, Belachew
    Gebeyehu, Desta
    Tamrat, Bimrew
    Tadiwose, Tassew
    FRONTIERS IN ENERGY RESEARCH, 2023, 11
  • [49] Aggregated models and transient performances of a mixed wind farm with different wind turbine generator systems
    Li, H.
    Yang, C.
    Zhao, B.
    Wang, H. S.
    Chen, Z.
    ELECTRIC POWER SYSTEMS RESEARCH, 2012, 92 : 1 - 10
  • [50] Investigation of modified AD/RANS models for wind turbine wake predictions in large wind farm
    Tian, L. L.
    Zhu, W. J.
    Shen, W. Z.
    Sorensenand, J. N.
    Zhao, N.
    SCIENCE OF MAKING TORQUE FROM WIND 2014 (TORQUE 2014), 2014, 524
12345