Analysis on wind power curtailment at frequency adjustment level

被引:0
|
作者
Tian, Shuxin [1 ]
Cheng, Haozhong [1 ]
Zeng, Pingliang [2 ]
Liu, Lu [1 ]
Wang, Kan [1 ]
Ma, Zhoujun [1 ]
机构
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai,200240, China
[2] China Electric Power Research Institute, Beijing,100192, China
关键词
Electric power system interconnection - Wind turbines - Wind farm - Electric power transmission networks - Electric load shedding;
D O I
暂无
中图分类号
学科分类号
摘要
Wind power curtailment has been one of the key restricting factors behind the development of the wind power industry. The main reasons for wind power curtailment are inadequate peak and frequency adjustment capability as well as inadequate transmission capacity. As seen from the aspect of the frequency adjustment, the active power output of the wind farm should be reduced step by step according to the command from the dispatch department of the power grid when the grid frequency exceeds the upper limit. To study urgent wind power curtailment at the minute-level, the most appropriate shedding method for wind generators is selected based on the frequency adjustment sensitivity index of wind generators' tripping as lopsided power exists. Typical difficult time intervals of the frequency adjustment are chosen according to the relationship between frequency overshoot time and load variation. Combined with the above wind generator tripping strategies, annual wind power curtailment in the planning scheme at the frequency adjustment level is estimated. Based on DIgSILENT/PowerFactory software, a certain regional power network planning in China of 2020 is used to verify the correctness and validity of the proposed method. ©, 2015, Xi'an High Voltage Apparatus Research Institute. All right reserved.
引用
收藏
页码:18 / 26
相关论文
共 50 条
  • [41] Optimal operation of flexible heating systems for reducing wind power curtailment
    Sun, Tianhe
    Zhang, Tieyan
    Chen, Zhe
    Teng, Yun
    ELECTRICAL ENGINEERING, 2020, 102 (02) : 869 - 880
  • [42] Optimal operation of flexible heating systems for reducing wind power curtailment
    Tianhe Sun
    Tieyan Zhang
    Zhe Chen
    Yun Teng
    Electrical Engineering, 2020, 102 : 869 - 880
  • [43] Impact of Power Output Curtailment Control of Photovoltaic Power Generation on Grid Frequency
    Kato, Takeyoshi
    Imanaka, Masaki
    Kurimoto, Muneaki
    Sugimoto, Shigeyuki
    IFAC PAPERSONLINE, 2020, 53 (02): : 12157 - 12162
  • [44] Simulating the influences of bat curtailment on power production at wind energy facilities
    Hayes, Mark A.
    Lindsay, Stephen R.
    Solick, Donald I.
    Newman, Christian M.
    WILDLIFE SOCIETY BULLETIN, 2023, 47 (01):
  • [45] A Strategy of Minimising Wind Power Curtailment by Considering Operation Capacity Credit
    Liu, Zhou
    Su, Chi
    Fang, Jiakun
    Hu, Weihao
    Chen, Zhe
    Hu, Yanting
    Zheng, Taiyi
    Sun, Yong
    2015 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2015,
  • [46] Study on Exploiting Thermostatically Controlled Loads to Reduce Wind Power Curtailment
    Wang, Guangrui
    Li, Zhengshuo
    2020 IEEE STUDENT CONFERENCE ON ELECTRIC MACHINES AND SYSTEMS (SCEMS 2020), 2020, : 647 - 651
  • [47] Winding down the wind power curtailment in China: What made the difference?
    Chen, Hao
    Chen, Jiachuan
    Han, Guoyi
    Cui, Qi
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 167
  • [48] Wind Power Curtailment Optimization for Day-Ahead Operational Planning
    Alves, Rui
    Reis, F. S.
    Shen, Hong
    2016 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2016,
  • [49] Dynamic reactive power optimal allocation to decrease wind power curtailment in a large-scale wind power integration area
    Niu, Tao
    Guo, Qinglai
    Jin, Hongyang
    Sun, Hongbin
    Zhang, Boming
    Liu, Haitao
    IET RENEWABLE POWER GENERATION, 2017, 11 (13) : 1667 - 1678
  • [50] A Probabilistic Day-ahead Scheduling with Considering Wind Power Curtailment
    Wang, Chen
    Liu, Tianbin
    Zhu, Zhigang
    Cheng, Jie
    Wei, Cong
    Wu, Yayi
    Lin, Chun
    Bai, Fan
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017, : 737 - 741