Online Parameter Tuning Method for Frequency Droop Control of Wind Turbine Generator
编号:106 访问权限:仅限参会人 更新:2023-11-20 13:45:43 浏览:483次 口头报告

报告开始:2023年12月09日 11:15(Asia/Shanghai)

报告时间:15min

所在会场:[S1] Renewable energy system [S1] Renewable energy system

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摘要
As the continuous increase in wind power penetration has brought a series of frequency problems to the power system, it is of great significance to study the frequency regulation (FR) of wind power system in order to maintain the safe and stable operation of power system. First, though the measured wind speed data of wind farm, this paper analyzes the wind speed variation law of the power generation section of wind turbine generator (WTG) participating in FR, and points out that it is inappropriate to set the wind speed to be constant during the process of WTG participating in FR. Subsequently, aiming at the favorable wind speed variation process that can bring incremental power to the WTG, a method for online tuning of the frequency droop control coefficient is proposed, and the calculation formula for parameter tuning is given. Finally, the simulation results based on three kinds of measured favorable wind speed variation laws verify the correctness of the proposed online parameter setting formula and the effectiveness of the proposed control strategy.
关键词
doubly-fed induction generator, frequency droop control, primary frequency regulation, wind power generation
报告人
Tongxin Chen
graduate student College of Energy and Electrical Engineering, Hohai University

稿件作者
Tongxin Chen College of Energy and Electrical Engineering, Hohai University
Yuqing Jin College of Energy and Electrical Engineering, Hohai University
Junchao Ma Electric Power Research Institute of State Grid Zhejiang Electric Power Corporation
Chenxu Wang Electric Power Research Institute of State Grid Zhejiang Electric Power Corporation
Mengtian Xu College of Energy and Electrical Engineering, Hohai University
Ping Liu College of Energy and Electrical Engineering, Hohai University
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重要日期
  • 会议日期

    12月08日

    2023

    12月10日

    2023

  • 11月01日 2023

    初稿截稿日期

  • 12月10日 2023

    注册截止日期

主办单位
IEEE IAS
承办单位
Southwest Jiaotong University (SWJTU)
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