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Dynamic load-altering attack detection based on adaptive fading Kalman filter in power systems

         

摘要

This paper presents an effective and feasible method for detecting dynamic load-altering attacks(D-LAAs)in a smart grid.First,a smart grid discrete system model is established in view of D-LAAs.Second,an adaptive fading Kalman filter(AFKF)is designed for estimating the state of the smart grid.The AFKF can completely filter out the Gaussian noise of the power system,and obtain a more accurate state change curve(including consideration of the attack).A Euclidean distance ratio detection algorithm based on the AFKF is proposed for detecting D-LAAs.Amplifying imperceptible D-LAAs through the new Euclidean distance ratio improves the D-LAA detection sensitivity,especially for very weak D-LAA attacks.Finally,the feasibility and effectiveness of the Euclidean distance ratio detection algorithm are verified based on simulations.

著录项

  • 来源
    《全球能源互联网:英文版》 |2021年第2期|P.184-192|共9页
  • 作者单位

    State Grid Shandong Electric Power Company Jinan 250000 P.R.China;

    State Grid Shandong Electric Power Company Jinan 250000 P.R.China;

    State Grid Shandong Electric Power Company Electric Power Research Institute Jinan 250003 P.R.China;

    State Grid Shandong Electric Power Company Jinan 250000 P.R.China;

    State Grid Shandong Electric Power Company Electric Power Research Institute Jinan 250003 P.R.China;

    School of Automation Engineering Northeast Electric Power University Jilin Jilin 132012 P.R.China;

    School of Automation Engineering Northeast Electric Power University Jilin Jilin 132012 P.R.China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 计算技术、计算机技术;
  • 关键词

    Adaptive fading Kalman filter; Dynamic load; Attack detection.;

    机译:自适应褪色卡尔曼滤波器;动态负荷;攻击检测。;
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