一种基于局部测量的自适应低频减载方法

Hao Yang, Baohui Zhang, Qing Wang, Shiyi Ma
{"title":"一种基于局部测量的自适应低频减载方法","authors":"Hao Yang, Baohui Zhang, Qing Wang, Shiyi Ma","doi":"10.1109/TENCON.2013.6718800","DOIUrl":null,"url":null,"abstract":"This paper puts forwards a novel adaptive underfrequency load shedding method preventing system collapse under severe active-power deficits. The method has advantages over existing self-adaptive schemes in that it can accurately estimate the actual active-power deficit without knowing the system equivalent inertia, system boundary or constructing a control center. The method only measures the local load active-power, local frequency and the rate of change of frequency to obtain the control quantity. The decentralized implementation ensures the high reliability and simplicity of the method. The algorithm theory is strictly derived to show the correctness of the method. The theory analytically confirms that the control accuracy is equal to the existing adaptive ones and that the method outperforms in both flexibility and cost. Based on the theory, the overall control structure is introduced. Simulation results on typical system with various conditions verify the control effectiveness and adaptability when compared with commonly used under-frequency load shedding schemes in China.","PeriodicalId":425023,"journal":{"name":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel self-adaptive underfrequency load shedding method based on local measurements\",\"authors\":\"Hao Yang, Baohui Zhang, Qing Wang, Shiyi Ma\",\"doi\":\"10.1109/TENCON.2013.6718800\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper puts forwards a novel adaptive underfrequency load shedding method preventing system collapse under severe active-power deficits. The method has advantages over existing self-adaptive schemes in that it can accurately estimate the actual active-power deficit without knowing the system equivalent inertia, system boundary or constructing a control center. The method only measures the local load active-power, local frequency and the rate of change of frequency to obtain the control quantity. The decentralized implementation ensures the high reliability and simplicity of the method. The algorithm theory is strictly derived to show the correctness of the method. The theory analytically confirms that the control accuracy is equal to the existing adaptive ones and that the method outperforms in both flexibility and cost. Based on the theory, the overall control structure is introduced. Simulation results on typical system with various conditions verify the control effectiveness and adaptability when compared with commonly used under-frequency load shedding schemes in China.\",\"PeriodicalId\":425023,\"journal\":{\"name\":\"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)\",\"volume\":\"83 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2013.6718800\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2013.6718800","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

提出了一种新的低频自适应减载方法,防止系统在严重有功亏缺情况下崩溃。与现有的自适应方案相比,该方法可以在不知道系统等效惯性、不知道系统边界、不需要建立控制中心的情况下准确地估计实际有功缺量。该方法仅通过测量本地负载有功功率、本地频率和频率变化率来获得控制量。分散的实现保证了方法的高可靠性和简单性。严格推导了算法理论,证明了该方法的正确性。理论分析证实,该方法的控制精度与现有的自适应控制精度相当,并且在灵活性和成本上都优于现有的自适应控制方法。在此基础上,介绍了系统的总体控制结构。通过对不同工况下典型系统的仿真,验证了该方法与国内常用低频减载方案的控制效果和适应性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel self-adaptive underfrequency load shedding method based on local measurements
This paper puts forwards a novel adaptive underfrequency load shedding method preventing system collapse under severe active-power deficits. The method has advantages over existing self-adaptive schemes in that it can accurately estimate the actual active-power deficit without knowing the system equivalent inertia, system boundary or constructing a control center. The method only measures the local load active-power, local frequency and the rate of change of frequency to obtain the control quantity. The decentralized implementation ensures the high reliability and simplicity of the method. The algorithm theory is strictly derived to show the correctness of the method. The theory analytically confirms that the control accuracy is equal to the existing adaptive ones and that the method outperforms in both flexibility and cost. Based on the theory, the overall control structure is introduced. Simulation results on typical system with various conditions verify the control effectiveness and adaptability when compared with commonly used under-frequency load shedding schemes in China.
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:481959085
Book学术官方微信