南方电网技术2025，Vol.19Issue(7)：30-49,20.DOI:10.13648/j.cnki.issn1674-0629.2025.07.003
电力系统稳定分析技术的智能化演进:从模型驱动、数据驱动到混合智能
Intelligent Evolution of Power System Stability Analysis Techniques:From Model-Driven,Data-Driven to Hybrid Intelligence
摘要
Abstract
With the increasing complexity of"high-proportion renewable and high-electrification"power systems,traditional model-driven stability analysis methods face growing limitations.Artificial intelligence(AI)techniques,offering advantages in both speed and accuracy,have emerged as a key research focus.This paper focuses on the development path of power system stability analysis technology from model driven to data-driven,and further to hybrid intelligence integrating domain knowledge and data.Firstly,the technical requirements of typical stability analysis tasks are outlined,and traditional model driven methods are reviewed.Subsequently,the application results of artificial intelligence methods in different scenarios are summarized,and their advantages and disadvantages are analyzed.Further the information driven methods and research progress of integrating power system knowledge and mechanisms are explored.Finally,based on the power system characteristics under the background of"double high",the current challenges faced are analyzed,and future research directions are discussed.关键词
电力系统稳定性/人工智能/机器学习/数据驱动/知识数据融合Key words
power system stability/artificial intelligence/machine learning/data-driven/knowledge-data-combined method分类
信息技术与安全科学引用本文复制引用
张俊勃,肖祥辉,马煜,彭颖,周青媛,李瑞,何康杰..电力系统稳定分析技术的智能化演进:从模型驱动、数据驱动到混合智能[J].南方电网技术,2025,19(7):30-49,20.基金项目
国家自然科学基金资助项目(52277101) （52277101）
中国电力建设股份有限公司科技核心攻关项目(DJ-HXGG-2024-01) （DJ-HXGG-2024-01）
华南理工大学中央高校基本科研业务费成果转化项目(2024ZYGXZR109).Supported by the National Natural Science Foundation of China(52277101) （2024ZYGXZR109）
the Key Technology and Research Project of Power Construction Corporation of China,Co.,Ltd.(DJ-HXGG-2024-01) （DJ-HXGG-2024-01）
the Central University Basic Research Funds for South Chnia University of Technology(2024ZYGXZR109). （2024ZYGXZR109）
