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Security load frequency control model of interconnected power system based on deception attack.

Xin Sun1, Qiuhang Tang2, Qianyi Lu3

  • 1State Grid Zhejiang Electric Power Co., Ltd., Electric Power Science Research Institute, Hangzhou, China.

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|February 29, 2024
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Summary
This summary is machine-generated.

This study introduces an elastic event-triggered sliding mode load frequency control for interconnected power systems to enhance stability against cyberattacks. The new model ensures faster recovery and stable power data transmission under mixed attacks.

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Area of Science:

  • Electrical Engineering
  • Control Systems
  • Cybersecurity

Background:

  • Interconnected power systems facilitate resource sharing but are vulnerable to network attacks.
  • Deception attacks threaten the stability of load frequency control in power grids.
  • Existing control strategies may not adequately address mixed attacks in complex power systems.

Purpose of the Study:

  • To develop an advanced load frequency control strategy for interconnected power systems resilient to cyberattacks.
  • To improve system stability and ensure reliable power data transmission under deception and mixed attacks.
  • To reduce communication load and network resource consumption through an event-triggered approach.

Main Methods:

  • Constructed a dynamic model for load frequency control in interconnected power systems.
  • Implemented an event-triggered strategy to minimize data communication frequency.
  • Designed a sliding mode controller for robust event-triggered sliding mode security load frequency control.
  • Developed an elastic event-triggered sliding mode load frequency control model.

Main Results:

  • Event-triggered load frequency control stabilized system deviations within approximately 12 seconds.
  • Sliding mode control-based load frequency control achieved stabilization in about 10 seconds.
  • The elastic event-triggered sliding mode load frequency control demonstrated robust anti-interference capabilities against various attacks.
  • Significantly reduced network transmission data and resource costs.

Conclusions:

  • The proposed elastic event-triggered sliding mode load frequency control effectively enhances the stability and security of interconnected power systems under mixed attacks.
  • This approach ensures stable power data transmission and faster system recovery compared to previous methods.
  • The study addresses critical security challenges in interconnected power systems, contributing to stable power supply.