• DocumentCode
    648211
  • Title

    A thermal-electric decoupling approach to reduce the wind power tripping rate

  • Author

    Shuang Rong ; Xiaoming Mou ; Weixing Li ; Tiankui Sun ; Zhimin Li

  • Author_Institution
    Dept. of Electr. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the rapid growth of wind power, due to the limit of the system peak load regulation capability, wind turbines were often tripped to guarantee power system security during heating periods in China´s north provinces. This paper proposes a thermal-electric decoupling scheme for reduction of wind power trippings. In this study, an outside thermal source is introduced to absorb sufficient wind power and to provide heating services. Thus, the heating output of co-generators could be reduced to lower the minimum forced power of co-generators, which further increases the system peak load regulation capability. An approach is proposed to calculate the wind power tripping rate by using Monte Carlo simulation technique. Case studies have been conducted to demonstrate the effectiveness of the proposed methods, and the results show that the proposed approach could relieve the wind power tripping rate and improve the ability of power system to accommodate wind power.
  • Keywords
    Monte Carlo methods; load regulation; power generation control; power generation faults; wind turbines; China; Monte Carlo simulation; heating services; load regulation capability; power system security; thermal-electric decoupling; wind power tripping rate reduction; Energy storage; Indexes; Power systems; Resistance heating; Wind power generation; Wind speed; co-generators; peak load regulation; power system; thermal electric decoupling; wind power tripping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672782
  • Filename
    6672782