摘要
针对传统的高压输电系统在行波保护方面存在故障定位误差较大等问题,文中提出了一种基于快速本征模态分解算法(fast intrinsic mode decomposition,FIMD)和支持向量机(support vector machine,SVM)的高压输电系统保护方案。所提方案利用FIMD算法来分解故障后的暂态行波信号,从而对固有模态分量进行提取,同时采用SVM对分解后的特征向量数据进行训练,进而实现对故障类型和故障位置的识别。最后,通过PSCAD/EMTDC和MATLAB软件联合搭建仿真系统,验证了所提保护方法的可行性和有效性。
Aiming at the problems of poor fault location accuracy of traditional high-voltage transmission system in traveling wave protection,and easy to be affected by traveling wave velocity,a novel high-voltage transmission system protection scheme based on fast intrinsic mode decomposition(FIMD)and support vector machine(SVM)is proposed in this paper.In this scheme,FIMD is used to decompose the transient traveling wave signals to extract the natural mode component,and SVM is used to train the eigenvector data,so as to realize the identification of fault type and fault location.Finally,the simulation system is built jointly by PSCAD/EMTDC and MATLAB software to verify the feasibility and effectiveness of the proposed protection method.
作者
白晋川
李肖博
姚浩
陈军健
BAI Jinchuan;LI Xiaobo;YAO Hao;CHEN Junjian(Digital Grid Research Institute Co.,Ltd.,China Southern Power Grid,Guangzhou 510000,China)
出处
《电测与仪表》
北大核心
2024年第9期107-112,共6页
Electrical Measurement & Instrumentation
基金
中国南方电网有限责任公司科技项目(ZBKJXM20180500)。
