Open access
Jun 2026
A Physics-Informed Deep Learning Method for Wind Turbine Impedance Modeling
A gray-box framework—the Physics-Informed Hybrid Model (PIHM)—that integrates a simplified physical impedance branch with a Bidirectional Long Short-Term Memory (Bi-LSTM) network in a novel parallel architecture is proposed, establishing the PIHM as a reliable, parameter-free tool for impedance-based stability analysis of modern wind power systems.
Libin Wen, Jinji Xi, Tannan Xiao et al.
· Energies · 1 citation