中国电机工程学报2025，Vol.45Issue(20)：7881-7892,中插4,13.DOI:10.13334/j.0258-8013.pcsee.240887
基于分布式协同的强迫次同步振荡溯源方法研究
Research on Forced Sub-synchronous Oscillation Source Tracing Method Based on Distributed Collaboration
摘要
Abstract
The occurrence of Sub-synchronous oscillation(SSO)in power systems is becoming increasingly frequent,significantly threatening the stability of the grid.Therefore,it is important to achieve rapid and accurate tracing of SSO source.However,SSO occurs at higher frequencies compared to low-frequency oscillations,requiring higher-frequency sampling data to ensure accuracy of the analysis.This requirement significantly increases the computational burden.Therefore,traditional centralized computing methods face significant challenges in real-time computation and communication.To fill this gap,a distributed collaborative method for the forced SSO source tracing is proposed in this paper.A hierarchical distributed system framework is constructed to trace the forced SSO source in power systems.It defines the roles and responsibilities of SSO measurement terminals,local layer substations(LLS),and central layer main stations.Then,an adaptive cooperation mechanism among local layer substations is developed,where measurement data are collected and processed locally.Based on an average consensus algorithm to exchange a small amount of energy information,the fast collaborative tracing of SSO source is achieved.The distributed collaborative method greatly reduces the data transmission and computational pressure on control centers/main stations,providing algorithmic support for fast and accurate tracing of SSO source.关键词
分布式协同溯源方法/本地层子站/强迫SSO溯源Key words
distributed collaborative source-tracing method/local layer substation/forced SSO source tracing分类
信息技术与安全科学引用本文复制引用
吴熙,何琴,陈曦,周金宇,廖凯..基于分布式协同的强迫次同步振荡溯源方法研究[J].中国电机工程学报,2025,45(20):7881-7892,中插4,13.基金项目
国家自然科学基金项目(52177075) （52177075）
江苏省自然科学基金项目(BK20221466) （BK20221466）
东南大学"至善青年学者"支持计划项目.Project Supported by National Natural Science Foundation of China(52177075) （52177075）
Natural Science Foundation of Jiangsu Province(BK20221466) （BK20221466）
"ZhiShan Young Scholar"Plan of Southeast University. （）
