Distributed Event-Triggered Economic Environmental Resource Management for Islanded Microgrids Under DoS Attacks

This article focuses on the economic environmental resource management for islanded Microgrids. To optimize the competing social welfare and environmental impact objectives simultaneously, by using the linear weighted sum method, a switched distributed algorithm is proposed to assign the energy among multiple heterogeneous generation devices and loads. Considering the vulnerability of distributed algorithms to the denial of service (DoS) attacks, we study the impact of the frequency and duration of such attacks on the algorithm performance. To obtain the optimal operation even under DoS attacks, sufficient conditions are presented to ensure the exponential convergence of the algorithm. Meanwhile, an event-triggered communication strategy is designed to reduce communication resource among participants. Finally, the effectiveness of the algorithm is illustrated by several case studies.
Note to Practitioners
—Resource management problem is a key issue in Microgrids to improve the economics of operation, which can be addressed by distributed cooperative algorithms. As a typical cyber-physical system, the optimality and convergence of the distributed algorithms can be easily disrupted by various cyber-attacks, such as DoS attacks. The existing distributed algorithms are typically implemented under ideal communication environments. To overcome the limitation and accommodate various resources in the future Microgrids, a distributed initialization-free algorithm is proposed that is resilient to DoS attacks. Besides, practitioners can adjust the coefficients of the algorithm based on the real operating situations to guarantee the convergence. Our future work will focus on designing resistance mechanisms and considering more practical constraints.