Active Control Strategy for Wind Farm Systems to Prevent Sub/super-Synchronous Oscillations

Haijiao Wang, Chun Liu
{"title":"Active Control Strategy for Wind Farm Systems to Prevent Sub/super-Synchronous Oscillations","authors":"Haijiao Wang, Chun Liu","doi":"10.1109/AEEES51875.2021.9403139","DOIUrl":null,"url":null,"abstract":"In recent years, the sub/super- synchronous oscillations problem has emerged as an important operational risk in the large-scale wind power systems of China. Some practical solutions that are mainly based on the control parameters improvements of wind turbine generators have been taken to prevent the oscillations. However, due to the complex operation conditions and continuous development of wind power, these off-line measurements cannot completely eliminate the potential oscillations risks. This paper is to propose an on-line stability analysis and active control method for large-scale wind power systems to prevent the sub/super-synchronous oscillation. At first, two-input two-output (TITO) system model and multi-input multi-output (MIMO) system model are presented for wind farm system, as well as the corresponding stability analysis approach. Then, an active control strategy for wind farm systems to prevent oscillations are proposed, which contains system level control and farm level control. Finally, the effectiveness of the proposed method is verified by the detailed time-domain simulation of a multiple wind farms system defined based on actual wind power base in China.","PeriodicalId":356667,"journal":{"name":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES51875.2021.9403139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In recent years, the sub/super- synchronous oscillations problem has emerged as an important operational risk in the large-scale wind power systems of China. Some practical solutions that are mainly based on the control parameters improvements of wind turbine generators have been taken to prevent the oscillations. However, due to the complex operation conditions and continuous development of wind power, these off-line measurements cannot completely eliminate the potential oscillations risks. This paper is to propose an on-line stability analysis and active control method for large-scale wind power systems to prevent the sub/super-synchronous oscillation. At first, two-input two-output (TITO) system model and multi-input multi-output (MIMO) system model are presented for wind farm system, as well as the corresponding stability analysis approach. Then, an active control strategy for wind farm systems to prevent oscillations are proposed, which contains system level control and farm level control. Finally, the effectiveness of the proposed method is verified by the detailed time-domain simulation of a multiple wind farms system defined based on actual wind power base in China.
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
风电场系统防止亚/超同步振荡的主动控制策略
近年来,亚/超同步振荡问题已成为中国大型风力发电系统的一个重要运行风险。针对风力发电机组的振动问题,提出了一些以改进风力发电机组控制参数为主要内容的实际解决方案。然而,由于风电运行条件的复杂和不断发展,这些离线测量并不能完全消除潜在的振荡风险。针对大型风力发电系统的亚/超同步振荡,提出了一种在线稳定分析和主动控制方法。首先提出了风电场系统的双输入双输出(TITO)系统模型和多输入多输出(MIMO)系统模型,以及相应的稳定性分析方法。在此基础上,提出了风电场系统防振荡的主动控制策略,该策略包括系统级控制和电场级控制。最后,通过对中国实际风电基地定义的多风电场系统进行详细的时域仿真,验证了所提方法的有效性。
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
自引率
0.00%
发文量
0
期刊最新文献
Improve the Dynamic Breakdown Voltage of SOI LDMOS Devices by Eliminating the Effect of Deep Depletion in Substrate Distribution Network Planning Considering loss with new linearization expression A New Method of Maintenance and Repair of Secondary System in Intelligent Substation Short-term EV Charging Load Forecasting Based on GA-GRU Model AC/DC Hybrid Renewable Energy System Coordinated Control and Test Platform
×
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:604180095
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