电力系统及其自动化学报2018，Vol.30Issue(4)：126-130,5.DOI:10.19635/j.cnki.csu-epsa.000006
基于并行计算算法的电能质量扰动分类
Power Quality Disturbance Classification Based on Parallel Computing Algorithm
李梅 1王慧慧1
作者信息
- 1. 天津城建大学控制与机械工程学院,天津300384
- 折叠
摘要
Abstract
In this paper,a power quality disturbance classification algorithm based on parallel computing is proposed considering the heavy computing burden and the overlong program execution of the disturbance generation,S-transform and feature extraction in the power quality disturbance classification.Based on the traditional algorithm,a parallel com?putation algorithm flow chart is established,and the parallel computing algorithms of disturbance generation,S-trans?form and feature extraction are designed respectively.With the help of simulation experiments,the differences between the time needed in parallel computation and serial computation in each part and the whole process of disturbance classi?fication are analyzed.Compared with the traditional serial algorithm,and on the premise that the accuracy of the sam?ples'distribution and classification is ensured,the proposed algorithm can reduce the computing time and achieve a higher recognition speed of power quality disturbance efficiently.关键词
电能质量/扰动分类/并行计算/S变换/特征值提取Key words
power quality/disturbance classification/parallel computing/S-transform/feature extraction分类
信息技术与安全科学引用本文复制引用
李梅,王慧慧..基于并行计算算法的电能质量扰动分类[J].电力系统及其自动化学报,2018,30(4):126-130,5.
