Robust small signal stability for microgrids under uncertainty

We describe an adapted robust control technique for analyzing microgrid stability under the uncertainty of renewable sources and loads. Two realistic case studies are presented to demonstrate the method's effectiveness as a tool for system design and analysis. Results show that the method is able to provide a non-trivial lower bound for the minimum damping ratio of the system, and can find the unstable instances missed by Monte Carlo approaches.