Grid scale battery integration plays an important role in renewable energy integration and
the formation of smart grid. To mitigate the problems of insufficient frequency response and …

This survey addresses stability analysis for stochastic hybrid systems (SHS), which are
dynamical systems that combine continuous change and instantaneous change and that …

Computationally efficient and scalable models that describe droop-controlled inverter
dynamics are key to modeling, analysis, and control in islanded microgrids. Typical models …

Quantifying the uncertainty of the renewable energy generation units and loads is critical to
ensure the dynamic security of next-generation power systems. To achieve that goal, the …

Critical infrastructure systems (CISs) are large scale and complex systems, across which
many interdependencies exist. As a result, several modeling and simulation approaches are …

The generalized polynomial chaos (gPC) method recently advocated in the literature,
exhibits impressive efficiency and accuracy in probabilistic power flow (PPF) calculations of …

Security assessment of large-scale, strongly nonlinear power grids containing thousands to
millions of interacting components is a computationally expensive task. Targeting at …

In this paper, a new systematic method is proposed to analyze the system frequency in
power systems under uncertain variability (UV). UV gradually increases in power systems …

With the growing integration of renewable power generation, plug-in electric vehicles, and
other sources of uncertainty, increasing stochastic continuous disturbances are brought to …

This paper proposes a novel method based on arbitrary Polynomial Chaos (aPC) to
evaluate how parameter and variable uncertainty impacts on the dynamic response of …