Power quality analysis of industrial company based on data acquisition system, numerical algorithms and compensation results

G. Oprea, H. Andrei
{"title":"Power quality analysis of industrial company based on data acquisition system, numerical algorithms and compensation results","authors":"G. Oprea, H. Andrei","doi":"10.1109/ISFEE.2016.7803232","DOIUrl":null,"url":null,"abstract":"The development of industrial and residential customers technologies and electric equipment affects the power quality parameters of distribution networks. When the supply voltage of distribution networks is distorted by nonlinear loads, then the equipment of customers draws non-sinusoidal currents from the network which can produce many technical problems. Thus, one of major research problem is to identify and characterize the technologies and equipment that pollute the networks. In this respect, the paper proposes a complex analysis of power quality parameters for real industrial consumer based on data acquisition system. Power quality parameters monitoring involves collecting and processing the voltage and current signals in different points of consumer power system. Each technological process of the factory is modeled by using Matlab procedures and the equipment that pollute are identified. The results are compared to the measured values and the errors are low. Finally are proposed actions in order to increase the power quality.","PeriodicalId":240170,"journal":{"name":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Symposium on Fundamentals of Electrical Engineering (ISFEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISFEE.2016.7803232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The development of industrial and residential customers technologies and electric equipment affects the power quality parameters of distribution networks. When the supply voltage of distribution networks is distorted by nonlinear loads, then the equipment of customers draws non-sinusoidal currents from the network which can produce many technical problems. Thus, one of major research problem is to identify and characterize the technologies and equipment that pollute the networks. In this respect, the paper proposes a complex analysis of power quality parameters for real industrial consumer based on data acquisition system. Power quality parameters monitoring involves collecting and processing the voltage and current signals in different points of consumer power system. Each technological process of the factory is modeled by using Matlab procedures and the equipment that pollute are identified. The results are compared to the measured values and the errors are low. Finally are proposed actions in order to increase the power quality.
基于数据采集系统、数值算法和补偿结果的工业企业电能质量分析
工业和居民用户技术和用电设备的发展影响着配电网的电能质量参数。当配电网的供电电压受到非线性负荷的畸变时,用户的设备从电网中吸取非正弦电流,会产生许多技术问题。因此,主要的研究问题之一是识别和表征污染网络的技术和设备。为此,本文提出了一种基于数据采集系统的实际工业用户电能质量参数复杂分析方法。电能质量参数监测包括对用电系统各点电压、电流信号的采集和处理。利用Matlab程序对工厂各工艺流程进行了建模,并对污染设备进行了识别。结果与实测值进行了比较,误差较小。最后提出了提高电能质量的措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信