电力系统的自我调节

B. Porretta, S. Porretta
{"title":"电力系统的自我调节","authors":"B. Porretta, S. Porretta","doi":"10.1109/TPEC.2019.8662178","DOIUrl":null,"url":null,"abstract":"For approximately the first five to fifteen seconds, the system frequency following a generation loss is determined by Inertia, Self Regulation, and Governor Response. The results of analysis of significant frequency events indicates that the analytic duplication of the frequency curves recorded for these events would not be possible unless the system is attributed values of Self Regulation that are significantly higher than those attributed to it by current literature. This raises the question as to where the higher values of Self Regulation derive from. After establishing that a negative Self Regulation is very important to the ability of the system to recover from generation loss disturbances and that the reliable operation of a system would be very difficult with a zero or positive Self Regulation, it is shown that another source of Self Regulation is the output power versus frequency characteristics of steam and water turbines. It is noted that the method used in this paper to calculate system Inertia, Self Regulation, and Governor Response appears to be the first one reported in the literature that extracts these parameters directly from system measurements of frequency.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"47 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Self Regulation of Electrical Power Systems\",\"authors\":\"B. Porretta, S. Porretta\",\"doi\":\"10.1109/TPEC.2019.8662178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For approximately the first five to fifteen seconds, the system frequency following a generation loss is determined by Inertia, Self Regulation, and Governor Response. The results of analysis of significant frequency events indicates that the analytic duplication of the frequency curves recorded for these events would not be possible unless the system is attributed values of Self Regulation that are significantly higher than those attributed to it by current literature. This raises the question as to where the higher values of Self Regulation derive from. After establishing that a negative Self Regulation is very important to the ability of the system to recover from generation loss disturbances and that the reliable operation of a system would be very difficult with a zero or positive Self Regulation, it is shown that another source of Self Regulation is the output power versus frequency characteristics of steam and water turbines. It is noted that the method used in this paper to calculate system Inertia, Self Regulation, and Governor Response appears to be the first one reported in the literature that extracts these parameters directly from system measurements of frequency.\",\"PeriodicalId\":424038,\"journal\":{\"name\":\"2019 IEEE Texas Power and Energy Conference (TPEC)\",\"volume\":\"47 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Texas Power and Energy Conference (TPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TPEC.2019.8662178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Texas Power and Energy Conference (TPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TPEC.2019.8662178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在大约最初的5到15秒内,发电损耗后的系统频率由惯性、自我调节和调速器响应决定。对重要频率事件的分析结果表明,对这些事件记录的频率曲线的分析重复是不可能的,除非系统被赋予显著高于当前文献赋予它的自我调节值。这就提出了一个问题,即自我监管的更高价值来自哪里。在确定了负自我调节对系统从发电损耗扰动中恢复的能力非常重要,并且在零或正自我调节的情况下系统的可靠运行将非常困难之后,表明了自我调节的另一个来源是蒸汽和水轮机的输出功率与频率特性。值得注意的是,本文中用于计算系统惯性、自我调节和调速器响应的方法似乎是文献中第一个直接从系统频率测量中提取这些参数的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self Regulation of Electrical Power Systems
For approximately the first five to fifteen seconds, the system frequency following a generation loss is determined by Inertia, Self Regulation, and Governor Response. The results of analysis of significant frequency events indicates that the analytic duplication of the frequency curves recorded for these events would not be possible unless the system is attributed values of Self Regulation that are significantly higher than those attributed to it by current literature. This raises the question as to where the higher values of Self Regulation derive from. After establishing that a negative Self Regulation is very important to the ability of the system to recover from generation loss disturbances and that the reliable operation of a system would be very difficult with a zero or positive Self Regulation, it is shown that another source of Self Regulation is the output power versus frequency characteristics of steam and water turbines. It is noted that the method used in this paper to calculate system Inertia, Self Regulation, and Governor Response appears to be the first one reported in the literature that extracts these parameters directly from system measurements of frequency.
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
×
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:604180095
Book学术官方微信