电力学报2024，Vol.39Issue(1)：21-28,8.DOI:10.13357/j.dlxb.2024.003
基于MRMR-DRSN的电力系统暂态稳定评估
Power System Transient Stability Assessment Method Based on MRMR-DRSN
摘要
Abstract
With the wide interconnection of power system and the wide application of phasor measurement unit(PMU),the safe operation of power system faces great challenges.To assess the operation state of power sys-tem quickly,accurately and effectively,an assessment method for transient stability based on max-relevance and min-redundancy(MRMR)criteria and deep residual shrinkage network(DRSN)is put forward.Firstly,feature selection is carried out using MRMR criteria,and key features and corresponding class tags are selected as input and output of DRSN model for off-line training.Then,the model updating mechanism is developed to cope with the change of power system operation status.Finally,transient stability assessment results can be provided immediately based on PMU real-time data and trained DRSN.The proposed method is tested on the IEEE 10-machine 39-bus system,and the results show that compared with other data-driven methods,the pro-posed method has better performance in comprehensive assessment,and has better anti-noise performance and robustness.关键词
电力系统/暂态稳定评估/相量测量单元/最大相关-最小冗余准则/深度残差收缩网络/模型更新Key words
power system/transient stability assessment/phasor measuring unit/max-relevance and min-redun-dancy/deep residual shrinkage network/model updating分类
信息技术与安全科学引用本文复制引用
龚铭扬,程瑞寅,杨楚原,袁铭洋,崔梓琪,刘颂凯,张磊..基于MRMR-DRSN的电力系统暂态稳定评估[J].电力学报,2024,39(1):21-28,8.基金项目
国家自然科学基金项目(52007103). （52007103）
