全球能源互联网2026，Vol.9Issue(1)：3-23,21.DOI:10.19705/j.cnki.issn2096-5125.20250361
基于人工智能的电力电子变流器并网系统稳定性分析与控制研究综述
A Review of the Stability Analysis and Control of Power Electronic Converters Grid-connected System Based on Artificial Intelligence
摘要
Abstract
With the increasing penetration of renewable energy sources such as wind and solar power in AC power grids,power electronic converters have become key devices affecting the safe and stable operation of the system.The grid-connected control performance is critical to power quality,system stability,and efficient integration of renewables.In recent years,artificial intelligence(AI)algorithms have demonstrated significant potential in stability analysis and control of power electronic systems,owing to their superiorities in feature extraction,self-learning,and nonlinear modeling.This paper first reviews the instability mechanisms and control theories of converter-based grid-connected systems and summarizes the limitations of existing methods in modeling accuracy,stability analysis,and control performance.It then systematically reviews recent advances in AI-based small-signal modeling,stability analysis,and high-performance control of converter systems,as well as AI applications in large-signal transient modeling and control.Finally,future research directions are discussed,highlighting the role of AI in enhancing stability control for next-generation power systems.关键词
并网变流器/电力系统稳定性/人工智能算法/小信号分析/暂态控制/自适应控制Key words
grid-connected converter/power system stability/artificial intelligence algorithm/small-signal analysis/transient control/adaptive control分类
信息技术与安全科学引用本文复制引用
张笑宁,王海金,刘浴霜,黄萌,查晓明..基于人工智能的电力电子变流器并网系统稳定性分析与控制研究综述[J].全球能源互联网,2026,9(1):3-23,21.基金项目
国家自然科学基金项目(52577211,U25B20204). National Natural Science Foundation of China(52577211,U25B20204). （52577211,U25B20204）
