Transmission Line Fault Analysis Method Based on Fuzzy Knn

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Zhang, Guorong^1 ; Du, Yu^1 ; Wang, Zhiguo^1 ; Li, Junni^2 ; Zhai, Liting^1 ; Xu, Li^1 ; Ruan, Yuanlong^3 ; Shang, Jing^3

State Grid Gansu Provincial Electric Power Company Jinchang Power Supply Company, GANSU

737100, China^1

Beijing Guotong Network Technology Co. Ltd., Beijing

100000, China^2

College of Computer Science and Information Engineering, Tianjin University of Science and Technology, Tianjin

300457, China^3

关键词: Computing platform;    Fault analysis;    Fuzzy k-NN;    Quality of life;    Stringent requirement;    Technical frameworks;    Transmission line analysis;    Transmission line faults;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/4/042110/pdf
DOI  :  10.1088/1755-1315/300/4/042110

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The improvement of the quality of life of the masses has led to more stringent requirements on the safety of the power system. Aiming at the problem that knn has low accuracy when dealing with the unconstrained data of the category and the complexity of the power system and the diversification of the structure, the Spark+Hadoop+Hive is used as the technical framework to establish a real-time fault analysis model of the transmission line based on the Spark computing platform. The problem of low timeliness in transmission line analysis further improves the accuracy of the algorithm in fault analysis of transmission lines.