Research on Power System Harmonic Detection based on Hadoop MapReduce Framework

摘要

With the advancement of the smart grid construction, higher requirements of computing speed and precision of the power quality monitoring indexes are put forward. The storage capacity and computing ability of the server in traditional power quality monitoring platform can hardly meet the growing demands of operation requirements. The purpose of this article is to realize a high efficiency calculation of sampling data under low hardware cost and minor resource waste. It is realized through Hadoop distributed file system and parallel programming model MapReduce to calculate the basic sampling data in power quality monitoring platform; The harmonic analysis algorithm based on time domain multiplication window is applied to the MapReduce framework of the power quality monitoring platform. The feasibility and superiority of the proposed parallel processing model of the power quality platform are verified through the experiment based on a small Hadoop cluster.