中国电机工程学报2025，Vol.45Issue(10)：3737-3751,中插4,16.DOI:10.13334/j.0258-8013.pcsee.240804
基于变分自编码神经常微分方程的电-气耦合系统长动态稳定快速推演技术
A Variational Neural Ordinary Differential Equation-based Fast Inference for Long-term Dynamic Stability of Integrated Electricity-gas System
摘要
Abstract
The fault propagation in integrated electricity-gas system(IEGS)exhibits complex features of multi-scale and bidirectional dynamics.Traditional time-domain simulation is difficult to achieve both stable and fast cross-scale numerical analysis,resulting in extremely low efficiency of IEGS stability analysis.To conquer this barrier,a variational neural ordinary differential equation(V-NODE)-based long-term dynamic stability inference method for post-faulted IEGS is proposed.First,involving the interactive responses between power grid and natural gas network,a full-system dynamic simulation model for IEGS is established.Then,synthetic minority over-sampling technique is conducted to settle post-fault response dataset with balanced stable and instable trajectories to prevent NODE overfitting in the unbalanced sample space.Furthermore,variational autoencoder is utilized to embed the steady-state variables of the power grid into time-domain.In this sense,inadequate representability and weak generalizability of conventional NODE on multiple steady equilibrium points can be circumvented.Finally,a V-NODE cost-sensitive learning method adapted to multi-stability modes is proposed to prevent NODE from overfitting the out-of-sync trajectories.The improved IEGS case shows that,compared to traditional ODE-based simulator,our method improves efficiency beyond 3 orders of magnitude,with a second elapsed time.It also beats the data-driven rival with substantial superiority in accuracy.Besides,the reachability analysis considering the V-NODE prediction error has verified the effectiveness and trajectory extrapolation ability of the proposed method.关键词
电-气耦合系统/长动态响应/动态稳定评估/神经微分方程Key words
integrated electricity-gas system/long dynamic response/neural ordinary differential equation分类
动力与电气工程引用本文复制引用
袁警特,邱高,刘友波,刘挺坚,唐志远,刘俊勇..基于变分自编码神经常微分方程的电-气耦合系统长动态稳定快速推演技术[J].中国电机工程学报,2025,45(10):3737-3751,中插4,16.基金项目
国家自然科学基金项目(52307124).Project Supported by National Natural Science Foundation of China(52307124). （52307124）
