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105 / 2021-10-25 09:37:00
Power System Reliability Assessment With Offshore Wind Farms
reliability assessment, sequential Monte Carlo algorithm, multiple influencing factors, offshore wind farm, onshore grid
Renewable energy system > Other topics in renewable energy
Final Paper
Feixiang Ying / Shanghai University of Electric Power
Lingling Huang / Shanghai University of Electric Power
Jintao Yan / Shanghai University of Electric Power
Yang Liu / Shanghai University
Qiguo Wang / Shanghai University of Electric Power
Yuzhi Miao / Shanghai University of Electric Power
Wind power is one of the more effective ways to solve the energy crisis and environmental pollution problems. Compared with onshore wind power, offshore wind power has a good prospect for development because of its advantages of saving land resources and stable and abundant wind energy. As the installed capacity of offshore wind power is gradually increasing in the power system, it is especially important to analyze the reliability of power systems containing offshore wind power farms. The method first predicts the wind speed of offshore wind farms based on historical data using ARMA algorithm, and establishes an offshore wind farm output model. Then, a sequential Monte Carlo method and a modified RBTS test system are used to analyze and compare the reliability of the power system with offshore wind power system under the influence of wind speed characteristics, offshore wind turbine and cable failure, onshore unit failure, and onshore load. Finally, the correctness and practicality of the proposed method are verified by simulation. The simulation and analysis results show that the proposed method can provide some reference for offshore wind farm planning.



 
Important Date

  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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