article · IEEE Transactions on Systems Man and Cybernetics Systems
Smart grid cyber-physical systems face operational risks from cyber threats such as false data injection and denial of service attacks. A resilient distributed energy management approach has been developed to counter these coordinated disruptions. The method introduces an event-trigger-based resilient consensus algorithm featuring dedicated attack identification and compensation mechanisms. To mitigate the consequences of data loss and communication delays, the system incorporates an improved event-triggered mechanism paired with reliable acknowledgement signals. Furthermore, a compensation technique using trusted nodes performs state corrections during coordinated optimisation, preserving power grid stability and security. Theoretical analyses confirm that the method achieves convergence and approaches optimal solutions while maintaining the proactive participation of all nodes. Simulation tests demonstrate that the algorithm successfully resolves energy management challenges under concurrent attack scenarios.
Modern electricity networks rely on digital communications to balance supply and demand, leaving them vulnerable to cyber attacks that could trigger blackouts. By safeguarding control communications and automatically correcting corrupted data, this technique helps maintain steady power delivery. It offers a way to keep essential electrical infrastructure reliable and secure even when under hostile digital attack.
The method is designed for application in smart grid control software, potentially serving power utilities, network operators, and industrial microgrid managers. Based on theoretical validation and simulation results, the technology is currently at an early, computer-tested stage of development. Moving towards commercial deployment would require integration and performance validation within physical grid hardware and operational network controllers.
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To address the false data injection (FDI) and denial of service (DoS) attack, this article proposes an event-trigger-based resilient distributed energy management approach for cyber–physical system of smart grid. Here, an event-trigger-based resilient consensus algorithm (ERCA) is proposed with the attack identification and compensation mechanism. The event-triggered mechanism is improved within distributed optimization combined with reliable acknowledgment (ACK) signals technique to mitigate the impact of data loss or transmission delay, and trust nodes-based compensation approach is proposed during resilient coordinated optimization for state correction to ensure the stability and security of power grid system. The optimality and convergence of the proposed method are proved theoretically that the proposed method can approximate to optimal solution well and achieve consensus by ensuring the proactive involvement of all participants under coordinated cyber attack. According to those obtained simulation results, it reveals that the proposed algorithm can effectively solve the energy management issue under coordinated DoS and FDI attack.
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DOI: 10.1109/tsmc.2024.3357497
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