Artificial intelligence techniques for stability analysis in modern power systems
J Fang, C Liu - iEnergy, 2024 - ieeexplore.ieee.org
Effective stability analysis is essential for the secure operation of modern power systems. As
smart grids evolve with increased interconnection, renewable energy integration, and …
smart grids evolve with increased interconnection, renewable energy integration, and …
Statistical model calibration of correlated unknown model variables through identifiability improvement
A statistical model calibration problem is known to have unstable or non-unique optimal
solutions due to its ill-posed inverse nature, which is further complicated by limited test data …
solutions due to its ill-posed inverse nature, which is further complicated by limited test data …
A Dispatching Method for Large-Scale Interruptible Load and Electric Vehicle Clusters to Alleviate Overload of Interface Power Flow
X Ye, G Li, T Zhu, L Zhang, Y Wang, X Wang, H Zhong - Sustainability, 2023 - mdpi.com
The study of dispatching methods for large-scale interruptible loads and electric vehicle
clusters is of great significance as an optional method to alleviate the problem of overload in …
clusters is of great significance as an optional method to alleviate the problem of overload in …
Integrating Knowledge-based and Data-driven Approaches for TTC Assessment in Power Systems with High Renewable Penetration
Assessment of total transfer capability (TTC) is vital for determining the permissible power
transfer between two areas of an interconnected power system. In the context of heightened …
transfer between two areas of an interconnected power system. In the context of heightened …
Uncertainty Quantification and Control in Power System Security and Operation Via Data-Driven Polynomial Chaos Expansion Based Methods
X Wang - 2024 - escholarship.mcgill.ca
The global energy situation is shifting towards renewable energy sources (RESs) to promote
sustainability and reduce fossil fuel reliance. This shift brings uncertainties from volatile …
sustainability and reduce fossil fuel reliance. This shift brings uncertainties from volatile …