Fully Distributed Fault-Tolerant Event-Triggered Control of Microgrids Under Directed Graphs
Meina Zhai, Qiuye Sun, Rui Wang, Bingyu Wang, Shu Liu, Huaguang Zhang
Abstract
This paper proposes an event-triggered fault-tolerant (ETFT) control strategy for voltage restoration in microgrids (MGs). The presence of partial loss of effectiveness (PLOE) and bias faults in the actuators are considered. The proposed algorithm is independent of the global information related to the directed communication network and does not involve the boundaries of the fault factors. Each distributed generator (DG) only needs to know the relative information between its neighbors, which means that the algorithm is fully distributed. The boundary layer technique is used to construct smooth ETFT controllers, avoiding the undesirable chattering effect of discontinuous controllers. Furthermore, a novel consensus error prediction model is developed to eliminate the need for continuous communication between DGs. The proposed algorithm is not only applicable to the secondary voltage restoration of MGs but can also be extended to general linear multi-agent systems (MASs). Finally, the simulation results verify the effectiveness of the algorithm.