A Localized Event-Driven Resilient Mechanism for Cooperative Microgrid Against Data Integrity Attacks.

Area of Science:

• Electrical Engineering
• Control Systems
• Cybersecurity

Background:

• Cooperative economic dispatch in AC microgrids is vulnerable to data integrity attacks (DIAs).
• Existing methods for DIA detection often rely on neighboring information and are limited in scope.
• DIAs can disrupt optimal operation and economic efficiency of distributed generators (DGs).

Purpose of the Study:

• To propose a localized, event-driven, attack-resilient scheme for cooperative economic dispatch in AC microgrids.
• To enhance the robustness of DIA detection against fault and random attacks.
• To ensure the maximization of economic profit despite potential DIAs.

Main Methods:

• Modeling each DG with a reference incremental cost to design a localized resilient control update.
• Generating an event-driven control signal that is held upon DIA detection to prevent malicious data propagation.
• Segregating fault and random attacks based on consensus update values.

Main Results:

• The proposed scheme effectively detects and mitigates DIAs in AC microgrids.
• The localized, event-driven approach prevents the spread of malicious data.
• The strategy ensures immediate action upon DIA detection, maximizing economic profit.

Conclusions:

• The developed attack-resilient scheme enhances the security and economic performance of cooperative economic dispatch in AC microgrids.
• The theoretical verification and simulation validate the effectiveness of the proposed DIA detection and mitigation strategy.