Detection Scheme for Tampering Behavior on Distributed Controller of Electric-Thermal Integrated Energy System Based...

Area of Science:

• Energy Systems Engineering
• Cybersecurity
• Control Theory

Background:

• Smart grid development is leading to integrated energy systems, notably electric-thermal systems.
• These systems enhance energy efficiency through integrated control but increase vulnerability to cyberattacks.
• Malicious data injection poses a significant risk to the stability and reliability of energy dispatch.

Purpose of the Study:

• To investigate the impact of false data injection attacks on electric-thermal integrated energy systems.
• To develop a robust method for detecting tampering in these critical systems.
• To enhance the security and resilience of energy dispatch operations.

Main Methods:

• A compromised model of an electric-thermal integrated energy system under false data injection attacks was established.
• Vulnerable variable observers were designed to detect tampered variables across various attack scenarios.
• A tampering behavior detection method based on a relation network was developed, utilizing observed and measured data.

Main Results:

• The proposed method successfully identified and located false data injection attacks.
• Simulation results demonstrated the effectiveness of the designed observers and the relation network.
• The detection method proved capable of distinguishing between normal operation and malicious tampering.

Conclusions:

• The developed detection method enhances the security of electric-thermal integrated energy systems against false data injection attacks.
• The approach provides a reliable mechanism for monitoring system integrity and detecting cyber threats.
• This research contributes to the secure and stable operation of future integrated energy systems.