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49 / 2020-09-24 22:01:59
Wind Turbine Condition Assessment Method Based On Cloud Model And Evidence Theory
wind turbine, state assessment, dynamic degradation, cloud model, DS evidence theory
Plenary track
Draft Rejected
Liu Lin / Southern Offshore Wind Power Joint Development Company Limited
Liu Sha / Southern Offshore Wind Power Joint Development Company Limited
Liu Ya / Chongqing university
In order to accurately grasp the actual operating state of the wind turbine, it is necessary to study the operating state of the wind turbine, so as to provide a basis for the safe and economic operation of other wind turbines. In this paper, based on the monitoring data obtained by SCADA system and CMS system, a wind turbine condition assessment method based on cloud model and evidence theory is proposed. The article first establishes a two-level state evaluation indicator system for multi-source parameter fusion. Secondly, the dynamic degradation degree of the evaluation index is determined in the article, and then the mass function is modified using evidence theory, and the evaluation state is determined according to the maximum trust rule. Finally, the effectiveness of the proposed method is verified by taking the wind turbine health status assessment of a wind farm in East China as an example.

 
Important Date

  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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