Improved Resilient Model Predictive Control for Enhanced Microgrid Virtual Inertia Emulation by Virtual Energy Storage System Under DoS Attacks

The distributed control of a microgrid is fully dependent on advanced information and communication technologies that are sensitive to cyber-physical systems. Cyberattacks, such as denial-of-service (DoS) attacks, can cause unstable operation low-inertia microgrids. This paper proposes enhanced virtual inertia under DoS attacks using an improved resilient model predictive (IRMPC)-based energy storage system (VESS). IRMPC comprises attack detector, autoregressive (AR)-based signal estimator, MPC-based VESS controller. An detector was used detect the attacks. AR-based estimator then estimate feedback data subjected firefly algorithm optimize AR parameters. effectiveness proposed compared with conventional control, control-based VESS, VESS. simulation results revealed attack, successfully improve emulation. Additionally, has performance effect over techniques in terms reduction RoCoF deviation frequency during normal situations, disconnection wind turbine generation. also confirmed robust parameter variations when other methods.