Hierarchical Self-Commissioning Control of Grid-Supporting Boost Converters with Nonlinear Loads

Daniel O'Keeffe, S. Riverso, L. Albiol-Tendillo, G. Lightbody
{"title":"Hierarchical Self-Commissioning Control of Grid-Supporting Boost Converters with Nonlinear Loads","authors":"Daniel O'Keeffe, S. Riverso, L. Albiol-Tendillo, G. Lightbody","doi":"10.1109/CONTROL.2018.8516786","DOIUrl":null,"url":null,"abstract":"Collective voltage stability and efficient load-sharing are critical objectives of grid-supporting distributed generation units in DC islanded microgrids. This paper proposes a hierarchical self-commissioning control architecture which offers plug-and-play and fully scalable design features. First, passivity theory is used to provide an explicit inequality set of control gains for decentralised state-feedback controllers at the primary control level. This set is completely independent of global system parameters and microgrid topology and is shown to guarantee collective stability of the whole microgrid comprised of DC-DC boost converters, RL power lines and linear/nonlinear loads. Second, the proposed primary controller is cascaded with distributed consensus-based secondary controls in order to perform voltage balancing and equal load-sharing. Asymptotic stability of the secondary control level is proven using a unit-gain approximation of the primary level. Finally, the architecture is evaluated using a single bus-connected topology and plug-and-play operations.","PeriodicalId":266112,"journal":{"name":"2018 UKACC 12th International Conference on Control (CONTROL)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 UKACC 12th International Conference on Control (CONTROL)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONTROL.2018.8516786","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

Collective voltage stability and efficient load-sharing are critical objectives of grid-supporting distributed generation units in DC islanded microgrids. This paper proposes a hierarchical self-commissioning control architecture which offers plug-and-play and fully scalable design features. First, passivity theory is used to provide an explicit inequality set of control gains for decentralised state-feedback controllers at the primary control level. This set is completely independent of global system parameters and microgrid topology and is shown to guarantee collective stability of the whole microgrid comprised of DC-DC boost converters, RL power lines and linear/nonlinear loads. Second, the proposed primary controller is cascaded with distributed consensus-based secondary controls in order to perform voltage balancing and equal load-sharing. Asymptotic stability of the secondary control level is proven using a unit-gain approximation of the primary level. Finally, the architecture is evaluated using a single bus-connected topology and plug-and-play operations.
具有非线性负载的并网升压变换器的分层自调试控制
在直流孤岛微电网中,集体电压稳定和有效负荷分担是并网分布式发电机组的关键目标。本文提出了一种具有即插即用和完全可扩展设计特点的分层自调试控制体系结构。首先,使用无源理论为分散状态反馈控制器在主控制层提供一个明确的不等式控制增益集。该集合完全独立于全局系统参数和微电网拓扑,并被证明可以保证由DC-DC升压变换器、RL电力线和线性/非线性负载组成的整个微电网的集体稳定性。其次,所提出的主控制器与基于共识的分布式辅助控制器级联,以实现电压平衡和负载均衡。利用主电平的单位增益逼近证明了二级控制电平的渐近稳定性。最后,使用单个总线连接拓扑和即插即用操作对体系结构进行评估。
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 求助全文
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