南方电网技术2026，Vol.20Issue(4)：16-28,13.DOI:10.13648/j.cnki.issn1674-0629.2026.04.002
基于LASSO的变流器并网系统小扰动稳定降维分析
LASSO-Based Dimensionality Reduction Analysis for Small-Disturbance Stability of Grid-Connected Converter Systems
摘要
Abstract
The high proportion of power electronics in new power systems introduces the"dimensionality disaster"challenge in system modeling and analysis.Among existing model order reduction methods,theoretical analysis approaches are highly targeted but suffer from insufficient universality.The state variable selection principle of the singular perturbation method is tied to linearized models,making it difficult to accurately capture comprehensive dynamic characteristics.To address this,the state variable selection principle is improved by leveraging data-driven techniques to obtain full dynamic characteristics.The least absolute shrinkage and selection operator(LASSO)is employed for state variable selection,supplemented with critical state variables based on physical information.Perturbation methods are then applied to achieve system dimensionality reduction.Finally,the approach is tested in a typical grid-connected converter system,demonstrating that the reduced-order system can reflect the small-disturbance stability characteristics of the original system,validating the method′s effectiveness.关键词
LASSO回归/变流器并网系统/小扰动稳定/模型降维/数据驱动/摄动法Key words
LASSO regression/converter grid-connected system/small-disturbance stability/model dimensionality reduction/data-driven/perturbation method分类
信息技术与安全科学引用本文复制引用
刘崇茹,姚蜀军,吕懿澎,苏晨博,郭昊,倪京奥,唐奕明,卢远宏,张杰,张竞月..基于LASSO的变流器并网系统小扰动稳定降维分析[J].南方电网技术,2026,20(4):16-28,13.基金项目
国家自然科学基金资助项目(U23B6008) （U23B6008）
中国南方电网有限责任公司科技项目(ZBKJXM20232299). Supported by the National Natural Science Foundation of China(U23B6008) （ZBKJXM20232299）
the Science and Technology Project of China Southern Power Grid Co.,Ltd.(ZBKJXM20232299). （ZBKJXM20232299）
