摘要
针对电力系统中产生谐波和电压偏差等电能质量问题,运用灰色系统中的灰靶理论提出对没有标准故障模型的情况下电能质量的评估新方法。首先建立基于物联网技术的电能质量远程监测系统,然后将系统中监测到的数据运用灰靶理论进行分析处理,给出电能质量评估的算法步骤及等级,实现变电站电能质量的评估。实验表明,该方法可以有效地解决电能质量识别的问题,为变电站电能质量评估提供了一种新的策略。
Because of the problems of harmonics and voltage deviation for power system,the gray target theory is proposed for the absence of the standard fault model to evaluate new methods of power quality.Firstly,this article designs the power quality monitoring system based on the Internet of things technology,then monitors the power quality data analysis and processing using gray target theory,and gives the step for power quality assessment algorithm and grade,to achieve a comprehensive assessment of power quality.Several test results show that this method can effectively solve problems without standard fault model to identify power quality and provide a new strategy for power quality assessment.
出处
《实验技术与管理》
CAS
北大核心
2016年第9期57-60,共4页
Experimental Technology and Management
基金
吉林市科技发展计划资助项目(2015334004)
关键词
电能质量监测
物联网技术
灰色系统
灰靶理论
power quality monitoring
Internet of things technology
grey system
gray target theory