A new Reliability Index for turbine selection

K. Cini, E. A. Jasmin
{"title":"A new Reliability Index for turbine selection","authors":"K. Cini, E. A. Jasmin","doi":"10.1109/TAPENERGY.2015.7229653","DOIUrl":null,"url":null,"abstract":"For the development of smart grid more and more distributed generation like wind, solar, fuel cell are introduced to the distribution networks in the power systems. Among them wind power generation is identified as the most advantageous and promising source for the future. Wind resource assessment and analysis is a crucial step in gauging the potential of many areas to produce electrical energy. After analyzing the potential, identifying a suitable turbine for a potential site is very significant in wind energy conversion system (WECS). Usually the turbine selection for a potential site is done on the basis of capacity factor, which is the ratio of the average power output to the rated power of the turbine. The intermittent nature of wind calls for its attention for reliability evaluation to integrate the same to the conventional system. The commonly defined reliability indices like Loss of Load Expectation (LOLE), Loss of Load Probability (LOLP), Expected Energy Not Supplied (EENS) give indication about the insufficiency of the power generation to meet the load, but it does not give indication about the consistency of operation. A new reliability index, Turbine Reliability Index (TRI) is proposed to evaluate the performance of turbines in the selected sites. The wind data of a potential site, Kayathar in Tamil Nadu in India was collected for the analysis. Along with the capacity factor, which is the basis of selection of a turbine, if we include the newly proposed index also for the selection of a turbine for a particular site, the performance of the wind energy conversion system can be improved.","PeriodicalId":6552,"journal":{"name":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","volume":"2 1","pages":"404-408"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Technological Advancements in Power and Energy (TAP Energy)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAPENERGY.2015.7229653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

For the development of smart grid more and more distributed generation like wind, solar, fuel cell are introduced to the distribution networks in the power systems. Among them wind power generation is identified as the most advantageous and promising source for the future. Wind resource assessment and analysis is a crucial step in gauging the potential of many areas to produce electrical energy. After analyzing the potential, identifying a suitable turbine for a potential site is very significant in wind energy conversion system (WECS). Usually the turbine selection for a potential site is done on the basis of capacity factor, which is the ratio of the average power output to the rated power of the turbine. The intermittent nature of wind calls for its attention for reliability evaluation to integrate the same to the conventional system. The commonly defined reliability indices like Loss of Load Expectation (LOLE), Loss of Load Probability (LOLP), Expected Energy Not Supplied (EENS) give indication about the insufficiency of the power generation to meet the load, but it does not give indication about the consistency of operation. A new reliability index, Turbine Reliability Index (TRI) is proposed to evaluate the performance of turbines in the selected sites. The wind data of a potential site, Kayathar in Tamil Nadu in India was collected for the analysis. Along with the capacity factor, which is the basis of selection of a turbine, if we include the newly proposed index also for the selection of a turbine for a particular site, the performance of the wind energy conversion system can be improved.
一种新的汽轮机选型可靠性指标
随着智能电网的发展,越来越多的分布式发电如风能、太阳能、燃料电池等被引入到电力系统的配电网中。其中,风力发电被认为是未来最具优势和前景的能源。风能资源评估和分析是衡量许多地区发电潜力的关键步骤。在风能转换系统(WECS)中,对潜在场地进行分析后,确定合适的风力机是非常重要的。通常,潜在站点的涡轮机选择是根据容量系数进行的,容量系数是涡轮机的平均输出功率与额定功率的比值。风力发电的间歇性特点要求对其进行可靠性评估,将其与常规系统相结合。通常定义的可靠性指标,如负荷预期损失(LOLE)、负荷概率损失(LOLP)、预期无供能(EENS)等,反映了发电能力不足以满足负荷的情况,但不能反映运行的一致性。提出了一种新的可靠性指标——水轮机可靠性指数(TRI),用于评价选定地点水轮机的性能。收集了印度泰米尔纳德邦Kayathar一个潜在地点的风数据进行分析。除了选择风机的基础容量系数外,如果我们将新提出的指标也纳入特定场地的风机选择,则可以提高风能转换系统的性能。
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