摘要
电力系统谐波污染直接对整个电力系统的安全稳定运行带来危害。如何实现对电力系统谐波进行快速精准的分析,提出有效的治理方案是避免电力系统谐波危害的关键。本文针对传统的电力系统谐波检测分析智能化和准确度低等问题,通过采用数据挖掘技术从已有的数据库中挖掘出与电力系统谐波形成的相关原因,提出了一种基于大数据技术的电力系统谐波分析方法,确保了电力系统谐波分析的精准性,实现检测、分析和治理一体化,对提高电力系统谐波治理效率,及时消除电力系统谐波危害具有非常重要的意义。
It is known that harmonic pollution will directly affect the security and stability of the power system,and how to quickly and accurately analyze the harmonics and thus provide an effective scheme is the key to avoiding the harm brought by the power system harmonics. In this paper,aiming at the problem of low intelligence and low accuracy existing in the traditional detection method of power system harmonics,a harmonic analysis method is proposed based on big data technology by using data mining technology to determine the reason related to the formation of harmonics from the existing database. The accuracy is ensured,and an integration of detection,analysis and control is realized. The proposed scheme is of significance to the improvement of control efficiency and the timely elimination of harm brought by power system harmonics.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2016年第S1期46-50,共5页
Proceedings of the CSU-EPSA
关键词
电力系统
谐波检测
大数据
智能化分析
power system
harmonic detection
big data
intelligent analysis
