Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks

Qiu, Wei; Sun, Kaiqi; Yao, Wenxuan; Wang, Weikang; Tang, Qiu; Liu, Yilu

doi:10.1109/tii.2021.3063270

Title: Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks

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Abstract

The high voltage direct current (HVdc) intertie has been applied to provide ancillary-services for ac grids, utilizing the real-time feedback from phasor measurement units (PMUs). However, PMU data communication is vulnerable to false data injection attacks (FDIA) due to protocol defects, thus the HVdc ancillary control and system stability will be threatened. To address this issue, this article proposes a novel HVdc control strategy based on a hybrid data-driven (HDD) methodology. In this work, the HDD methodology is first proposed to detect the types and duration time of multiple frequency attacks. Specifically, the Hilbert Huang transform (HHT) is used to decompose the frequency data, using variational mode decomposition instead of the traditional empirical mode decomposition, to extract data features. Second, a multikernel support vector machine is proposed to classify the attacked data based on the designed distinctive features from HHT. Meanwhile, the attacking duration time is decided using an unsupervised technique. Third, an HDD-based HVdc ancillary control strategy is established to eliminate the effect of FDIAs on the HVdc frequency response. Comprehensive experiments of HDD-based HVdc ancillary controls under different FDIAs suggest that the proposed HDD could fast and accurately classify the FDIAs, and the HDD-based HVdc ancillary control strategymore »« less

Authors:

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Hunan Univ., Changsha (China); Univ. of Tennessee, Knoxville, TN (United States)
Univ. of Tennessee, Knoxville, TN (United States)
Hunan Univ., Changsha (China)
Univ. of Tennessee, Knoxville, TN (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: Wed Mar 03 00:00:00 EST 2021

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE; National Science Foundation (NSF); Postgraduate Scientific Research Innovation Project of Hunan Province

OSTI Identifier:: 1842611

Grant/Contract Number:: AC05-00OR22725; EEC-1041877; CX20200426

Resource Type:: Accepted Manuscript

Journal Name:: IEEE Transactions on Industrial Informatics

Additional Journal Information:: Journal Volume: 17; Journal Issue: 12; Journal ID: ISSN 1551-3203

Publisher:: IEEE

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING; false data injection attack; FDIA; high voltage direct current ancillary control; HVdc; hybrid data-driven; HDD; multikernal support vector machine; MSVM; HVDC transmission; phasor measurement units; feature extraction; oscillators; cyberattack; informatics; real-time systems

Citation Formats


                    Qiu, Wei, Sun, Kaiqi, Yao, Wenxuan, Wang, Weikang, Tang, Qiu, and Liu, Yilu. Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks.  United States: N. p., 2021. 
Web.  doi:10.1109/tii.2021.3063270.

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                    Qiu, Wei, Sun, Kaiqi, Yao, Wenxuan, Wang, Weikang, Tang, Qiu, & Liu, Yilu. Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks.  United States.  https://doi.org/10.1109/tii.2021.3063270

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                    Qiu, Wei, Sun, Kaiqi, Yao, Wenxuan, Wang, Weikang, Tang, Qiu, and Liu, Yilu. Wed .  
"Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks".  United States.  https://doi.org/10.1109/tii.2021.3063270.  https://www.osti.gov/servlets/purl/1842611.

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@article{osti_1842611,

  title        = {Hybrid Data-Driven Based HVdc Ancillary Control for Multiple Frequency Data Attacks},

  author       = {Qiu, Wei and Sun, Kaiqi and Yao, Wenxuan and Wang, Weikang and Tang, Qiu and Liu, Yilu},

  abstractNote = {The high voltage direct current (HVdc) intertie has been applied to provide ancillary-services for ac grids, utilizing the real-time feedback from phasor measurement units (PMUs). However, PMU data communication is vulnerable to false data injection attacks (FDIA) due to protocol defects, thus the HVdc ancillary control and system stability will be threatened. To address this issue, this article proposes a novel HVdc control strategy based on a hybrid data-driven (HDD) methodology. In this work, the HDD methodology is first proposed to detect the types and duration time of multiple frequency attacks. Specifically, the Hilbert Huang transform (HHT) is used to decompose the frequency data, using variational mode decomposition instead of the traditional empirical mode decomposition, to extract data features. Second, a multikernel support vector machine is proposed to classify the attacked data based on the designed distinctive features from HHT. Meanwhile, the attacking duration time is decided using an unsupervised technique. Third, an HDD-based HVdc ancillary control strategy is established to eliminate the effect of FDIAs on the HVdc frequency response. Comprehensive experiments of HDD-based HVdc ancillary controls under different FDIAs suggest that the proposed HDD could fast and accurately classify the FDIAs, and the HDD-based HVdc ancillary control strategy could significantly suppress the impact of the FDIAs.},

  doi          = {10.1109/tii.2021.3063270},

  journal      = {IEEE Transactions on Industrial Informatics},

  number       = 12,

  volume       = 17,

  place        = {United States},

  year         = {Wed Mar 03 00:00:00 EST 2021},

  month        = {Wed Mar 03 00:00:00 EST 2021}

}

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