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…