电力系统谐波分析计算工具汇编

A. Amoo, U. Aliyu, G. Bakare
{"title":"电力系统谐波分析计算工具汇编","authors":"A. Amoo, U. Aliyu, G. Bakare","doi":"10.5772/INTECHOPEN.77182","DOIUrl":null,"url":null,"abstract":"Harmonic analysis comes into limelight at this contemporary world as a result of pro- liferation of non-linear loads producing waveform distortions in power systems. It has apparently outshined other important phrases such as power outage, power factor and so on which are known for their devastating impacts. The emergence of distorted waveform has adverse effects which could be slow or rapid damage of key apparatus and equipment, namely power transformers, electric motors and other sensitive computer as well as communication facilities. In fact, it is very easy to assess the menace of power outage or power factor since both the utility and consumers keep watchdog on their bill -ings/operating costs in case of power factor or the economic losses when there is outage. Unfortunately, the detection of harmonics could only be analysed using high-tech power systems harmonic analysers and there is a need to provide stakeholders in the industry compendium of computational tools for fast harmonic analysis. Thus, the harmonic data acquired were used to train an artificial neural network (ANN) implemented on MATrix LABoratory (MATLAB 8) software platform to facilitate accurate prediction of harmonic distortions.","PeriodicalId":313869,"journal":{"name":"Compendium of New Techniques in Harmonic Analysis","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compendium of Computational Tools for Power Systems Harmonic Analysis\",\"authors\":\"A. Amoo, U. Aliyu, G. Bakare\",\"doi\":\"10.5772/INTECHOPEN.77182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Harmonic analysis comes into limelight at this contemporary world as a result of pro- liferation of non-linear loads producing waveform distortions in power systems. It has apparently outshined other important phrases such as power outage, power factor and so on which are known for their devastating impacts. The emergence of distorted waveform has adverse effects which could be slow or rapid damage of key apparatus and equipment, namely power transformers, electric motors and other sensitive computer as well as communication facilities. In fact, it is very easy to assess the menace of power outage or power factor since both the utility and consumers keep watchdog on their bill -ings/operating costs in case of power factor or the economic losses when there is outage. Unfortunately, the detection of harmonics could only be analysed using high-tech power systems harmonic analysers and there is a need to provide stakeholders in the industry compendium of computational tools for fast harmonic analysis. Thus, the harmonic data acquired were used to train an artificial neural network (ANN) implemented on MATrix LABoratory (MATLAB 8) software platform to facilitate accurate prediction of harmonic distortions.\",\"PeriodicalId\":313869,\"journal\":{\"name\":\"Compendium of New Techniques in Harmonic Analysis\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Compendium of New Techniques in Harmonic Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5772/INTECHOPEN.77182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Compendium of New Techniques in Harmonic Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5772/INTECHOPEN.77182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于电力系统中非线性负荷产生的波形畸变越来越多,谐波分析成为当今世界关注的焦点。它显然超过了其他重要的短语,如停电、功率因数等,这些短语以其破坏性影响而闻名。畸变波形的出现对关键的仪器设备,即电力变压器、电动机等敏感的计算机和通信设施有缓慢或迅速的破坏作用。事实上,停电或功率因数的威胁是很容易评估的,因为电力公司和消费者都在监督他们的账单/运营成本,以防功率因数或停电时的经济损失。不幸的是,谐波检测只能使用高科技电力系统谐波分析仪进行分析,因此有必要为利益相关者提供快速谐波分析的计算工具行业纲要。因此,将采集到的谐波数据用于训练在MATrix lab (MATLAB 8)软件平台上实现的人工神经网络(ANN),以便准确预测谐波畸变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Compendium of Computational Tools for Power Systems Harmonic Analysis
Harmonic analysis comes into limelight at this contemporary world as a result of pro- liferation of non-linear loads producing waveform distortions in power systems. It has apparently outshined other important phrases such as power outage, power factor and so on which are known for their devastating impacts. The emergence of distorted waveform has adverse effects which could be slow or rapid damage of key apparatus and equipment, namely power transformers, electric motors and other sensitive computer as well as communication facilities. In fact, it is very easy to assess the menace of power outage or power factor since both the utility and consumers keep watchdog on their bill -ings/operating costs in case of power factor or the economic losses when there is outage. Unfortunately, the detection of harmonics could only be analysed using high-tech power systems harmonic analysers and there is a need to provide stakeholders in the industry compendium of computational tools for fast harmonic analysis. Thus, the harmonic data acquired were used to train an artificial neural network (ANN) implemented on MATrix LABoratory (MATLAB 8) software platform to facilitate accurate prediction of harmonic distortions.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Power System Harmonics Estimation Using Adaptive Filters Harmonic Mitigation for VSI Using DP-Based PI Controller Harmonic Reduction of a Single-Phase Multilevel Inverter Using Genetic Algorithm and Particle Swarm Optimization Compendium of Computational Tools for Power Systems Harmonic Analysis Compensation of Frequency-Dependent Attenuation for Tissue Harmonic Pulse Compression Imaging
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1