The new power system transient voltage stability assessment provides a strong guarantee for the stable operation and sustainable development of the system. With the large-scale grid connection of new energy sources

the existing transient voltage stability assessment methods are deficient in computational complexity and mechanism support

lack effective stability index calculation methods

and struggle to balance accuracy and real-time requirements. To address the above deficiencies

this paper proposes a transient voltage stability assessment method based on the Maximum Lyapunov exponential with dynamic optimization of neighborhood and delay (DMLE). First

the stability mechanism of MLE is analyzed

considering the dynamic response characteristics of voltage

and the stability margin and instability degree index are constructed. Then

by combining phase space reconstruction theory and the wavelet transform

a DMLE method with dynamic selection of neighborhood and optimization of time delay is proposed to transform the problem of transient voltage stability assessment into one of analyzing the MLE trajectory of the amplitude derivatives of the heavily disturbed voltage. Finally

the system stability under different operating conditions is evaluated in terms of both accuracy and real-time performance through the improved IEEE-39 node system and CSEE-VS system arithmetic. Meanwhile

the performance of the proposed method under different time windows is analyzed

and the degree of influence on the system stability under noise interference is investigated to verify the accuracy and effectiveness of the method.