Effect of Sensor Faults on the Stresses Caused by Wind Turbine Blades

IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC International Transactions on Electrical Energy Systems Pub Date : 2024-05-23 DOI:10.1155/2024/7392391
Dariush Biazar
{"title":"Effect of Sensor Faults on the Stresses Caused by Wind Turbine Blades","authors":"Dariush Biazar","doi":"10.1155/2024/7392391","DOIUrl":null,"url":null,"abstract":"<div>\n <p>Rotor blades are the main part for generating electrical energy and the primary source of stresses in a wind turbine (WT). The stresses caused by the blades increase the load on the hub, tower, and foundation of the WTs. In this research, the asymmetry of the blade angle with each other has been investigated as one of the factors affecting the stress distribution using Monte Carlo (MC) simulation. The focus of this study is on the stresses caused by the asymmetry of the blades angle when there is the fault in the sensors. A deep understanding of the blade stress distribution due to sensor faults can improve control designs, increase WT operating time, and reduce energy generation costs when these faults occur.</p>\n </div>","PeriodicalId":51293,"journal":{"name":"International Transactions on Electrical Energy Systems","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/7392391","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Transactions on Electrical Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/7392391","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Rotor blades are the main part for generating electrical energy and the primary source of stresses in a wind turbine (WT). The stresses caused by the blades increase the load on the hub, tower, and foundation of the WTs. In this research, the asymmetry of the blade angle with each other has been investigated as one of the factors affecting the stress distribution using Monte Carlo (MC) simulation. The focus of this study is on the stresses caused by the asymmetry of the blades angle when there is the fault in the sensors. A deep understanding of the blade stress distribution due to sensor faults can improve control designs, increase WT operating time, and reduce energy generation costs when these faults occur.

Abstract Image

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
传感器故障对风力涡轮机叶片应力的影响
转子叶片是产生电能的主要部件,也是风力涡轮机(WT)的主要应力源。叶片产生的应力会增加风力涡轮机轮毂、塔架和基础的负荷。在这项研究中,使用蒙特卡罗(MC)模拟法研究了叶片角度的不对称性,将其作为影响应力分布的因素之一。本研究的重点是当传感器出现故障时,叶片角度不对称所造成的应力。深入了解传感器故障导致的叶片应力分布,可以改进控制设计,延长 WT 运行时间,并在发生这些故障时降低发电成本。
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 去求助
来源期刊
International Transactions on Electrical Energy Systems
International Transactions on Electrical Energy Systems ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
6.70
自引率
8.70%
发文量
342
期刊介绍: International Transactions on Electrical Energy Systems publishes original research results on key advances in the generation, transmission, and distribution of electrical energy systems. Of particular interest are submissions concerning the modeling, analysis, optimization and control of advanced electric power systems. Manuscripts on topics of economics, finance, policies, insulation materials, low-voltage power electronics, plasmas, and magnetics will generally not be considered for review.
期刊最新文献
Nonlinear Failure Analysis of Critical Area of Transmission Towers Based on the Continuum Damage Theory Comparative Analysis and Performance Evaluation of Underwater Cable Detection and Tracking Techniques: A Comprehensive Survey Hybrid ANFIS-PI-Based Robust Control of Wind Turbine Power Generation System Optimal Allocation and Sizing of Capacitor Banks in Distribution System to Reduce the Power Loss Using Beluga Whale Optimization An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids
×
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