A Robust Control Design to Real-Time Conditions and Modelling of a Microgrid

The current energy transition is resulting in the development of microgrids to support massive implementations of renewable electricity generation systems. This leads to a strong constraint on the management and sizing of these networks in order to optimize their performance and make it more reliable as regard a high level of uncertainties related to real-time operations. This paper focuses on the development of an $\mathrm{H}_{\infty}$ robust control strategy applied to an island microgrid for its primary frequency control. An analysis is carried out for unmodelled dynamics uncertainties that could originate from the dynamics of the employed sensors, in order to determine the sizing margin of the system with the aim of guarantying its stability and dynamic performance. The results of the robustness analysis will help us to know what is necessary to integrate from the design phase in order to guarantee the most optimal and robust control during the real-time implementation of the control algorithms.