A Robust Control Strategy of Wind Turbines for Frequency Regulation Support in Power Systems Based on Second-Order Sliding Mode

Dingwen Lu, Kai Liao, Yangwu Shen, Ming Ma
{"title":"A Robust Control Strategy of Wind Turbines for Frequency Regulation Support in Power Systems Based on Second-Order Sliding Mode","authors":"Dingwen Lu, Kai Liao, Yangwu Shen, Ming Ma","doi":"10.1109/CEEPE55110.2022.9783121","DOIUrl":null,"url":null,"abstract":"With the increasing wind power penetration level (WPPL), the frequency regulation support capacity of traditional power systems is insufficient, which seriously affects the safety and stability of system frequency. Aiming at this problem, this paper proposes a robust control strategy of wind turbines based on second-order sliding mode to support the frequency stability of the power system. Firstly, in order to reflect the dynamic behavior of wind turbines participating in frequency regulation support, the wind turbine linearization model is deduced. Secondly, a second-order sliding mode algorithm, namely the super-twisting algorithm, is introduced into the wind turbine frequency regulation support control, and the stability of the proposed strategy is proved by the Lyapunov method. Finally, the effectiveness of the proposed strategy and its advantages are verified by simulation results.","PeriodicalId":118143,"journal":{"name":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEPE55110.2022.9783121","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

With the increasing wind power penetration level (WPPL), the frequency regulation support capacity of traditional power systems is insufficient, which seriously affects the safety and stability of system frequency. Aiming at this problem, this paper proposes a robust control strategy of wind turbines based on second-order sliding mode to support the frequency stability of the power system. Firstly, in order to reflect the dynamic behavior of wind turbines participating in frequency regulation support, the wind turbine linearization model is deduced. Secondly, a second-order sliding mode algorithm, namely the super-twisting algorithm, is introduced into the wind turbine frequency regulation support control, and the stability of the proposed strategy is proved by the Lyapunov method. Finally, the effectiveness of the proposed strategy and its advantages are verified by simulation results.
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
基于二阶滑模的风电机组鲁棒调频控制策略
随着风电渗透水平的不断提高,传统电力系统的频率调节支撑能力不足,严重影响了系统频率的安全和稳定。针对这一问题,本文提出了一种基于二阶滑模的风力发电机组鲁棒控制策略,以支持电力系统的频率稳定性。首先,为了反映风电机组参与调频支撑时的动态特性,推导了风电机组线性化模型;其次,将一种二阶滑模算法即超扭转算法引入到风电机组调频支持控制中,并通过Lyapunov方法证明了所提策略的稳定性。最后,通过仿真结果验证了所提策略的有效性和优越性。
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
Research on Hybrid Configuration of Photovoltaic and Storage Distribution Network Considering the Power Demand of Important Loads Optimal Dispatch of Novel Power System Considering Tail Gas Power Generation and Fluctuations of Tail Gas Source Study on Evolution Path of Shandong Power Grid Based on "Carbon Neutrality" Goal Thermal State Prediction of Transformers Based on ISSA-LSTM Study on Bird Dropping Flashover Prevention Characteristics of AC Line in Areas Above 4000 m
×
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