Multi-Agent based Control of a Microgrid Power System in Case of Cyber Intrusions

In this paper an isolated microgrid in a multi-agent based infrastructure is studied. Each DG unit is considered as an agent and is modeled as an inverter based generation unit. Firstly, the modeling of the microgrid components including the inverter based DG units is presented. The stability of the modeled microgrid is investigated through small signal stability analysis. Secondly, the control algorithms used in the Microgrid is described. Particle Swarm Optimization is introduced as a tool to calculate the control parameters. The proposed control approach is applied in different multi-agent structures in the inverter based microgrid which is tested against oscillations caused by possible cyber intrusions in the system. The results show improvement in control performance of the microgrid system using the proposed multi-agent based control technique.