As traditional small-signal stability analysis method fails to estimate the region of asymptotic stability for nonlinear systems under large disturbances

a large-signal stability analysis method based on the Takagi-Sugeno (T-S) fuzzy model is proposed for multi-electrolyzer hydrogen production system. First

built on nonlinear system theory

the coupling relationships among system components are analyzed

and a nonlinear full-order state-space model of the multi-electrolyzer hydrogen production system is established based on the dynamic models of the converters. Subsequently

this study employs the T-S fuzzy modeling method to decompose the nonlinear system into a weighted combination of multiple locally valid linear subsystems. The effects of parameters such as power

control loop parameters

inductance

and capacitance on system stability are analyzed on the basis of Lyapunov stability theory. Finally

multiple tests and analyses are conducted on the constructed RT-LAB hardware-in-the- loop simulation platform in order to verify the effectiveness and feasibility of the proposed method. Experimental results demonstrate that the proposed approach accurately estimates the system asymptotic stability domain with a maximum estimation error of 3.03%

and effectively analyzes the impact of parameter variations on system stability.