• DocumentCode
    3572835
  • Title

    Modeling and simulation on the wind turbine maintenance strategy based on the multi-agent approach*

  • Author

    Yan Li ; Jinkuan Wang ; Peng Han ; Yinghua Han

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • Firstpage
    2017
  • Lastpage
    2022
  • Abstract
    Wind energy is one of the most important renewable energy sources for its clean and sustainable characteristics and has become an important part in the sustainable development strategy of the world. However, with the wind turbine capacity enlarged and the increasement of wind farm scale, the fault management issue aims to the wind farm has become increasingly prominent. This paper provides an agent-based wind turbine fault management model with the consideration of the randomness and autonomy characteristics of the wind turbine. By setting the sensing system, reasonable maintenance strategy and component replacement policy, as well as the fault response mechanism, this paper proves the applicability of the proposed model through the contrastive analysis and numerical simulations, which provides a good guidance for the management of wind farm.
  • Keywords
    fault diagnosis; multi-agent systems; power engineering computing; power generation reliability; power system management; wind power plants; wind turbines; clean characteristics; component replacement policy; fault response mechanism; multiagent approach; renewable energy source; sensing system; sustainable characteristics; sustainable development strategy; wind energy; wind farm fault management model; wind turbine maintenance strategy modeling; Analytical models; Computational modeling; Maintenance engineering; Reliability; Solid modeling; Wind farms; Wind turbines; Fault detection; Maintenance strategy; Multi-agent approach; Replacement policy; Wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053031
  • Filename
    7053031