The growing demand for hydrogen in hydrogen fuel cell vehicles (HFCVs) will present
challenges for the safe operation of the integrated distributed hydrogen supply network …

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 …

The transient power grid stability is greatly affected by the unpredictability of inverter-based
resources of today's interconnected power grids. This article introduces an efficient transient …

Most existing studies on probabilistic frequency stability analysis ignore the dynamics of
wind power generations (WPGs) and thus result in inaccurate analysis results especially …

Most existing studies on probabilistic analysis of small-signal stability (PASS) of power
systems affected by wind power generations ignore the intrinsic phenomenon in wind farms …

Most existing studies on probabilistic frequency stability (PFS) affected by the uncertainty of
wind power generation ignore the heterogeneity and interactions of wind turbines inside …

Existing probabilistic transient stability assessment (PTSA) methods mainly provide an
overall estimation of the probabilistic transient stability index (TSI) but ignore the temporal …

System instability does not occur often in practice and thus the historical data for training a
machine learning method has to address the imbalanced and multi-modal probabilistic …

Predicting post-fault dynamic trajectories is important for corrective control to ensure stable
and secure power system operation. This paper proposes a new Bayesian post-fault power …

This paper proposes a two-stage model for flexible resource coordination and value
analysis in rural areas, which considers the specific biomass energy conversion supply and …