2 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.SY2025
Data-driven Communication and Control Design for Distributed Frequency Regulation with Black-box Inverters
Michael Nestor, Jiaxin Wang, Ning Zhang +1
The increasing penetration of inverter-based resources into the power grid, with often only black-box models available, challenges long-standing frequency control methods. Most rec…