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An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load

Author

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  • Jie Wan

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Yanjia Wang

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Guorui Ren

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Jinfu Liu

    (School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China)

  • Wei Wang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China)

  • Jilai Yu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
    Postdoctoral Research Station of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China)

Abstract

The wind power ramp event includes large fluctuations in wind power within a short period of time. To maintain grid stability, defining, identifying, and predicting the wind power ramp event is inevitable. Therefore, a comprehensive assessment method of wind power ramp events that combines the generalized information of the source, grid, and load sides is proposed. In this method, we put forward a channel self-selected multi-layer coefficient correction model (CSMCC) and wind power ramp threshold, according to the allowable value of a grid frequency change. Additionally, the availability of data-driven modeling methods is verified by performing autocorrelation analysis. Finally, the comprehensive evaluation method, which combines the back propagation (BP) neural network, supports the vector machine and CSMCC model is proved to be effective. This paper has a certain reference significance for basic research on large-scale wind power safety and efficient utilization.

Suggested Citation

  • Jie Wan & Yanjia Wang & Guorui Ren & Jinfu Liu & Wei Wang & Jilai Yu, 2020. "An Integrated Evaluation Method of the Wind Power Ramp Event Based on Generalized Information of the Source, Grid, and Load," Energies, MDPI, vol. 13(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6503-:d:459382
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    References listed on IDEAS

    as
    1. Ren, Guorui & Wan, Jie & Liu, Jinfu & Yu, Daren & Söder, Lennart, 2018. "Analysis of wind power intermittency based on historical wind power data," Energy, Elsevier, vol. 150(C), pages 482-492.
    2. Cui, Mingjian & Zhang, Jie & Feng, Cong & Florita, Anthony R. & Sun, Yuanzhang & Hodge, Bri-Mathias, 2017. "Characterizing and analyzing ramping events in wind power, solar power, load, and netload," Renewable Energy, Elsevier, vol. 111(C), pages 227-244.
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