3 papers
math.OC2026
Input Convex Neural Network as a Surrogate in Stability-Constrained Optimization for IBR-dominated Power Systems
Wangkun Xu, Hongyang Jia, Yi Wang +2
Input convex neural networks (ICNNs) are increasingly used as surrogates for stability indices and embedded as constraints in power-system optimization. This letter clarifies two r…
eess.SY2026
Flow-based Polynomial Chaos Expansion for Uncertainty Quantification in Power System Dynamic Simulation
Le Fang, Wangkun Xu, Fei Teng
The large-scale integration of renewable energy sources introduces significant operational uncertainty into power systems. Although Polynomial Chaos Expansion (PCE) provides an eff…
eess.SY2024
On the Incorporation of Stability Constraints into Sequential Operational Scheduling
Wangkun Xu, Zhongda Chu, Florin Capitanescu +1
With the increasing penetration of Inverter-Based Resources (IBRs), power system stability constraints must be incorporated into the operational framework, transforming it into sta…