Cyber-attack localisation and tolerant control for microgrid energy management system based on set-membership estimation

This paper addresses the cyber-security issue of microgrid energy management system, where cyber-attacks, appearing in communication networks, corrupt the transmitted data and falsify the state estimates. This can potentially threaten the physical system and lead to severe physical consequences. Therefore, it is of great significance to detect, locate and tolerate cyber-attacks. To this end, set-membership estimation is employed to detect the occurrence and locate the position of DoS attacks. The model predictive control technique is utilised to schedule the energy management by using the forecasts of photovoltaic generation and load demand. It is shown that the cyber-attack localisation and the desired tolerant control performance against attacks can be both achieved. Simulation results are provided to demonstrate the effectiveness of the proposed strategy.

Automated summary

This paper addresses the cyber-security issue of microgrid energy management system by employing set-membership estimation and model predictive control technique to detect, locate and tolerate cyber-attacks. The simulation results demonstrate the effectiveness of the proposed strategy in achieving cyber-attack localization and desired tolerant control performance against attacks.