Risk Assessment Method for CPS-Based Distributed Generation Cluster Control in Active Distribution Networks Under...

Area of Science:

• Electrical Engineering
• Cybersecurity
• Power Systems

Background:

• Distributed generation (DG) integration enhances power system efficiency but introduces cyber vulnerabilities.
• Cyber attacks on DG control links can lead to loss of control and power deficits, threatening grid stability.
• Existing security assessments lack cross-domain analysis and an attacker-centric perspective for DG clusters.

Purpose of the Study:

• To develop a comprehensive cyber risk assessment method for DG cluster control under cyber attacks.
• To model cyber-physical interactions and analyze attack propagation within DG clusters.
• To evaluate physical consequences of cyber attacks from an attacker's perspective.

Main Methods:

• Established a cyber-physical system (CPS) model and control-communication framework for DG clusters.
• Developed a logical model for cyber attack strategies targeting DG inverters.
• Created a probabilistic failure model based on control topology and master-slave logic.
• Introduced a physical consequence quantification method considering power deficits at the point of common coupling (PCC).

Main Results:

• The proposed method effectively models cyber-physical interactions and attack propagation.
• Quantified physical consequences, including power deficits, resulting from cyber attacks.
• Demonstrated the effectiveness of the cyber risk assessment method through simulations.

Conclusions:

• The developed cyber risk assessment method provides a comprehensive evaluation framework for DG cluster control.
• The study highlights the importance of considering cross-domain effects and attacker perspectives in CPS security.
• The proposed approach enhances the resilience of power systems with integrated distributed generation against cyber threats.