Artificial intelligence techniques for stability analysis in modern power systems  

作　　者：Jiashu Fang Chongru Liu 

机构地区：[1]School of Mechanical and Electrical Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China [2]State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China

出　　处：《iEnergy》2024年第4期194-215,共22页电力能源汇刊(英文)

基　　金：supported by the National Natural Science Foundation of China(No.U23B20126).

摘　　要：Effective stability analysis is essential for the secure operation of modern power systems.As smart grids evolve with increased interconnection,renewable energy integration,and electrification,the large-scale deployment of ultra-high voltage AC/DC networks introduces various operational modes and potential fault points,posing significant challenges to maintaining stability.Traditional analysis and control methods fall short under these conditions.In contrast,emerging artificial intelligence(AI)techniques,combined with real-time data collection,provide powerful tools for enhancing stability analysis in smart grids.This paper comprehensively explores AI techniques in stability analysis,discussing the necessity and rationale for integrating AI into stability analysis through the lenses of knowledge fusion,discovery,and adaptation.It provides a thorough review of current studies on AI applications in stability analysis,addresses key challenges,and outlines future prospects for AI integration,highlighting its potential to improve analytical capabilities in complex power systems.

关 键 词：Smart grids artificial intelligence deep learning stability analysis. 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]