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A Terminal-Sliding-Mode-Based Frequency Regulation

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Advances in Neural Networks – ISNN 2015 (ISNN 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9377))

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Abstract

In this paper, a terminal reaching law based sliding mode control (SMC) method for load frequency control (LFC) is investigated in interconnected power systems in the presence of wind turbines and generation rate constraint (GRC). Neural networks are adopted to compensate the entire uncertainties. Simulation results show the validity and robustness of the presented method.

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Author information

Authors and Affiliations

  1. School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing, China

    Hong Liu & Dianwei Qian

Authors
  1. Hong Liu
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  2. Dianwei Qian
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Xiaolin Hu

  2. Fuzhou University, Fuzhou, China

    Yousheng Xia

  3. School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China

    Yunong Zhang

  4. Chinese Academy of Sciences, Institute of Automation, Beijing, China

    Dongbin Zhao

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Liu, H., Qian, D. (2015). A Terminal-Sliding-Mode-Based Frequency Regulation. In: Hu, X., Xia, Y., Zhang, Y., Zhao, D. (eds) Advances in Neural Networks – ISNN 2015. ISNN 2015. Lecture Notes in Computer Science(), vol 9377. Springer, Cham. https://doi.org/10.1007/978-3-319-25393-0_5

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  • DOI: https://doi.org/10.1007/978-3-319-25393-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25392-3

  • Online ISBN: 978-3-319-25393-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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