5 citations · 5 across the 8 of their papers we have counts for
9 papers
A Bayesian Adaptive Spectral Surrogate Model for Efficient Probabilistic Optimal Power Flow Evaluation
Xiaoting Wang, Xiaozhe Wang, Gregory Kish +2
This paper presents an adaptive stochastic spectral embedding (ASSE) method to solve the probabilistic AC optimal power flow (AC-OPF), a critical aspect of power system operation.…
Probabilistic Assessment of Rare Transient Instability Events via Kriging-based Active Learning Framework
Jingyu Liu, Xiaoting Wang, Xiaozhe Wang
The increasing uncertainty in modern power systems, driven by the integration of intermittent energy sources and variable loads, underscores the need for probabilistic transient st…
Efficient Sampling and Sensitivity Analysis of Rare Transient Instability Events via Subset Simulation
Jingyu Liu, Xiaoting Wang, Xiaozhe Wang
Assessing the risk of low-probability high-impact transient instability (TI) events is crucial for ensuring robust and stable power system operation under high uncertainty. However…
Comparative Analysis of Learning-Based Methods for Transient Stability Assessment
Xingjian Wu, Xiaoting Wang, Xiaozhe Wang +2
Transient stability and critical clearing time (CCT) are important concepts in power system protection and control. This paper explores and compares various learning-based methods…
Efficient Probabilistic Optimal Power Flow Assessment Using an Adaptive Stochastic Spectral Embedding Surrogate Model
Xiaoting Wang, Jingyu Liu, Xiaozhe Wang
This paper presents an adaptive stochastic spectral embedding (ASSE) method to solve the probabilistic AC optimal power flow (AC-OPF), a critical aspect of power system operation.…
A Comparative Study of Polynomial Chaos Expansion-Based Methods for Global Sensitivity Analysis in Power System Uncertainty Control
Xiaoting Wang, Rong-Peng Liu, Xiaozhe Wang +1
In this letter, we compare three polynomial chaos expansion (PCE)-based methods for ANCOVA (ANalysis of COVAriance) indices based global sensitivity analysis for correlated random…