• DocumentCode
    3580966
  • Title

    Risk assessment of wind power ramp event considering time-sequence characteristic

  • Author

    Chao Xu ; Zhongkang Wei ; Chengming He ; Hongtao Wang

  • Author_Institution
    Sch. of Electr. Eng., Shandong Univ., Jinan, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the increase of wind power penetration, the impact of wind power ramp event on power system becomes more and more serious. To assess the impact of it on power system, the characteristic and development process of wind power ramp event is analyzed, and a time-dependent outage model of conventional generators which is appropriate to wind power ramp event is constructed base on Monte-Carlo method. The time-sequence of ramp event and outage of conventional generators is considered, by sampling the possible outage time and state of conventional generators separately. The impact of wind power ramp event on power system operation risk is analyzed with times of frequency off-limits, times of loss load and loss load expectation in view of under frequency load shedding and AGC. The simulation results with IEEE RTS 24 validate that effectiveness of the proposed model. This work is supported by the National High-tech Research and Development Program of China (863 Program) (No. 2011AA05A101), and National Natural Science Foundation of China (No. 51177092).
  • Keywords
    Monte Carlo methods; load shedding; power generation reliability; ramp generators; risk management; wind power plants; AGC; IEEE RTS 24; Monte Carlo method; National High-tech Research and Development Program of China; National Natural Science Foundation of China; frequency load shedding; loss load expectation; power system operation outage; time-dependent outage model; time-sequence characteristic; wind power penetration; wind power ramp event risk assessment; Forecasting; Generators; Indexes; Probabilistic logic; Risk management; Wind farms; Wind power generation; Monte-Carlo method; Wind power; ramp event; risk assessment; time-sequence characteristic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7065982
  • Filename
    7065982