article · IEEE Transactions on Smart Grid
Cyber-physical systems such as micro-grid energy management networks face serious threats from privacy leaks and hostile data intrusions directed at participating agents. To counter these vulnerabilities, a resilient distributed algorithm combines homomorphic encryption with an event-triggered mechanism. Communication shared between neighbouring agents is encrypted and subsequently decrypted using a private key, safeguarding sensitive data against disclosure. In addition, an event-triggered resilient distributed optimisation framework incorporating trusted agents, known as ETRDO-T, counteracts security attacks from malicious nodes. This design secures convergence across the distributed network while mitigating the heavy communication overhead typical of homomorphic encryption processes. Simulation tests demonstrate that the method successfully preserves data privacy during information exchanges and maintains stable energy management convergence even during active cyber-attacks.
Modern energy grids increasingly rely on interconnected digital networks, making them vulnerable to cyber-attacks and privacy breaches. Securing micro-grids against rogue actors while keeping operations synchronised is vital for critical infrastructure. By protecting operational data and defending against malicious intrusions without overwhelming communication channels, this approach supports the development of more dependable and secure decentralised energy networks.
This research could inform cybersecurity and operational software for micro-grid operators, grid utilities, and energy management system vendors needing to secure distributed communication channels. Because the findings are currently evidenced only through computer simulations, the technology is at an early algorithmic research stage and requires validation on physical testbeds or pilot networks before commercial adoption.
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Privacy disclosures and malevolent data intrusions targeting adversarial agents pose significant menaces to cyber-physical systems, a reality that extends to the intricate realm of micro-grid energy management. This paper proposes a homomorphic encryption based resilient distributed algorithm with an event-triggered mechanism to address this problem. Due to the potential information disclosure issue, exchange information is encrypted to an arbitrary neighbor and decrypted with a private key to protect agents. Considering the potential security attacks on adversary agents, an event-trigger based resilient distributed optimization with trusted agents (ETRDO-T) is proposed. It ensures the convergence of distributed algorithms, as well as relives the communication burden caused by homomorphic encryption. The simulation results, it can be seen that even under data attacks from malicious nodes, this method can effectively protect privacy information in information exchange while ensuring the convergence of energy management.
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DOI: 10.1109/tsg.2024.3390108
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