The increasing integration of variable renewable energy resources through power
electronics has brought about substantial changes in the structure and dynamics of modern …

Interdependence among diverse energy forms within integrated electricity and heat systems
(IEHSs) holds the potential to harness cooperation effects. This paper proposes a bi-level …

A prerequisite to dynamic state estimation of a stochastic nonlinear dynamic model of a
power system is its observability analysis. However, due to the model nonlinearity, the …

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 …

We present data-driven methods for power system transient stability analysis using a unit
eigenfunction of the Koopman operator. We show that the Koopman eigenfunction with unit …

The pursuit of seamless formation and robust control of inverters in power electronic-
dominated grids face challenges arising from uncertainties in grid impedance, dynamic load …

Forward uncertainty quantification (UQ) in power system dynamic simulations is gaining
increasing attention today because it assesses the random impacts on dynamic behaviors …

The paper deals with the development of a theoretical framework to design interval piece-
wise linear models of nonlinear plants. These models are implemented in continuous and …

Under frequency load shedding (UFLS) serves as the very last resort for preventing total
blackouts and cascading events. Fluctuating operating conditions and weak resilience of the …

Abstract Model predictive control (MPC) has become a key tool for optimizing real-time
operations in industrial systems and processes, particularly to enhance performance, safety …