利用神经-协同-超级扭转控制器对变速反转风力涡轮机系统的感应发电机进行有功和无功功率矢量控制

H. Benbouhenni, L. Ionescu, A. Mazare, Dalal Zellouma, I. Colak, N. Bizon
{"title":"利用神经-协同-超级扭转控制器对变速反转风力涡轮机系统的感应发电机进行有功和无功功率矢量控制","authors":"H. Benbouhenni, L. Ionescu, A. Mazare, Dalal Zellouma, I. Colak, N. Bizon","doi":"10.1177/00202940231224386","DOIUrl":null,"url":null,"abstract":"Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the value of rotor resistance, etc. So, to achieve these control objectives, this paper proposes a novel technique for the rotor side converter of IG-based contra-rotating wind power (CRWP) systems. The control based on the neural synergetic-super-twisting controller (NSSTC) is designed to minimize IG power ripples and improve the quality of current. The characteristics of the NSSTC-based strategy are presented, evaluated, and compared to the traditional direct field-oriented command (DFOC) based on traditional PI controllers and other reference techniques from the literature, highlighting that the NSSTC-based strategy is simpler to apply and more robust and performant than others classical nonlinear strategies. Comparative simulations are carried out on both the designed DFOC-NSSTC strategy and the DFOC technique to demonstrate the performance (good quality output power, low total harmonic distortion (THD) value of rotor currents, short response time and high robustness) and advantages of the suggested nonlinear technique.","PeriodicalId":510299,"journal":{"name":"Measurement and Control","volume":"112 5","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems\",\"authors\":\"H. Benbouhenni, L. Ionescu, A. Mazare, Dalal Zellouma, I. Colak, N. Bizon\",\"doi\":\"10.1177/00202940231224386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the value of rotor resistance, etc. So, to achieve these control objectives, this paper proposes a novel technique for the rotor side converter of IG-based contra-rotating wind power (CRWP) systems. The control based on the neural synergetic-super-twisting controller (NSSTC) is designed to minimize IG power ripples and improve the quality of current. The characteristics of the NSSTC-based strategy are presented, evaluated, and compared to the traditional direct field-oriented command (DFOC) based on traditional PI controllers and other reference techniques from the literature, highlighting that the NSSTC-based strategy is simpler to apply and more robust and performant than others classical nonlinear strategies. Comparative simulations are carried out on both the designed DFOC-NSSTC strategy and the DFOC technique to demonstrate the performance (good quality output power, low total harmonic distortion (THD) value of rotor currents, short response time and high robustness) and advantages of the suggested nonlinear technique.\",\"PeriodicalId\":510299,\"journal\":{\"name\":\"Measurement and Control\",\"volume\":\"112 5\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/00202940231224386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/00202940231224386","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

感应发电机(IG)的无功和有功功率矢量控制是利用风能产生高质量电力的基本要求。由于负载变化、转子电阻值变化等原因,使用基于估计无功/有功功率、滞后比较器和比例积分(PI)调节器的传统策略很难实现这些控制目标。因此,为了实现这些控制目标,本文针对基于 IG 的反转风力发电(CRWP)系统的转子侧变流器提出了一种新技术。基于神经协同-超级扭转控制器(NSSTC)的控制旨在最大限度地减少 IG 功率纹波并改善电流质量。本文介绍、评估了基于 NSSTC 的策略的特性,并将其与基于传统 PI 控制器的传统直接面向现场指令 (DFOC) 以及文献中的其他参考技术进行了比较,结果表明,与其他经典非线性策略相比,基于 NSSTC 的策略应用更简单,鲁棒性和性能更高。对所设计的 DFOC-NSSTC 策略和 DFOC 技术进行了比较仿真,以证明所建议的非线性技术的性能(输出功率质量好、转子电流总谐波失真 (THD) 值低、响应时间短、鲁棒性高)和优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active and reactive power vector control using neural-synergetic-super twisting controllers of induction generators for variable-speed contra-rotating wind turbine systems
Reactive and active power vector control of induction generators (IG) are essential requirements for generating high-quality electricity from wind power. These control objectives are challenging and difficult to achieve when using traditional strategies based on estimating reactive/active power, hysteresis comparators, and proportional-integral (PI) regulators due to load variations, changes in the value of rotor resistance, etc. So, to achieve these control objectives, this paper proposes a novel technique for the rotor side converter of IG-based contra-rotating wind power (CRWP) systems. The control based on the neural synergetic-super-twisting controller (NSSTC) is designed to minimize IG power ripples and improve the quality of current. The characteristics of the NSSTC-based strategy are presented, evaluated, and compared to the traditional direct field-oriented command (DFOC) based on traditional PI controllers and other reference techniques from the literature, highlighting that the NSSTC-based strategy is simpler to apply and more robust and performant than others classical nonlinear strategies. Comparative simulations are carried out on both the designed DFOC-NSSTC strategy and the DFOC technique to demonstrate the performance (good quality output power, low total harmonic distortion (THD) value of rotor currents, short response time and high robustness) and advantages of the suggested nonlinear technique.
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