电网技术2025，Vol.49Issue(7)：2659-2670,12.DOI:10.13335/j.1000-3673.pst.2024.0110
基于Informer和改进sBTTC指数的电力系统暂态稳定一体化超前判别
Integrated Advanced Discrimination of Power System Transient Stability Based on Informer and Improved sBTTC Index
摘要
Abstract
Modern power systems are gradually exhibiting a high proportion of new energy grid integration trend,resulting in increasingly complex dynamic behavior under large disturbances.The mutual coupling effects of power angle and voltage emphasize the problem of transient stability.Traditional mechanistic analysis and end-to-end deep learning algorithms for stability judgment each lack in timeliness and interpretability,respectively.Integrating deep learning algorithms with stability mechanisms is a key focus in studying transient stability in power systems.Considering this,this paper introduces an integrated method for transient stability judgment in power systems,based on the Informer and an improved Simplified Branch Transient Transmission Capacity index(sBTTC).Based on mechanistic analysis,this method utilizes deep learning algorithms to enhance stability judgment results.Firstly,the transient stability instability characteristics and the features of the original sBTTC index were analyzed mechanistically on a classic system.This led to proposing an index integral judgment method to enhance the original threshold-based stability judgment.Secondly,an Informer prediction network was constructed,with its input information adjusted based on the spatiotemporal characteristics of electrical response quantities.By integrating the prediction network with the index integral judgment method,an integrated advanced judgment model targeting the transient power angle and voltage stability of power systems was further developed.This model is capable of advanced predictions of system stability and simultaneously determining the dominant stability mode of the system.Finally,the model's stability judgment capability is validated through multiple tasks on a system with a high proportion of new energy DC feed-in.Comparative experimental results demonstrate significant improvements in the accuracy and timeliness of the proposed method's judgments.关键词
暂态电压/暂态功角/Informer网络/主导稳定模式Key words
transient voltage/transient rotor angle/Informer/dominant stability mode分类
信息技术与安全科学引用本文复制引用
郑宗生,陈明雪,王渝红,何其多,朱玲俐..基于Informer和改进sBTTC指数的电力系统暂态稳定一体化超前判别[J].电网技术,2025,49(7):2659-2670,12.基金项目
国家重点研发计划项目"响应驱动的大电网稳定性智能增强分析与控制技术"(2021YFB2400800).Project Supported by the National Key R&D Program of China"Response-driven Intelligent Enhanced Analysis and Control for Bulk Power System Stability"(2021YFB2400800). （2021YFB2400800）
