{"title":"Distributed adaptive optimal secondary control for AC islanded microgrid under multiple event-triggered mechanisms.","authors":"Qin-Shuo Duan, Ze Tang, Dong Ding","doi":"10.1016/j.isatra.2025.04.036","DOIUrl":null,"url":null,"abstract":"<p><p>This paper mainly proposes a novel distributed secondary event-triggering control strategy for AC islanded microgrid, which not only achieves the consistency of frequency and voltage but also considers the proportional sharing of active power. Compared to the traditional fixed periodic communication, the proposed multiple event-triggered strategy only conducts a sparse communication among distributed generators (DGs). For accelerating the convergence speed and saving the control costs efficiently, a time-varying adaptive updating law for frequency and voltage is proposed. Furthermore, it is confirmed that there is no Zeno behavior. Combined with Lyapunov stability theory, the control strategy is proven to be capable for driving the stability and consistency of microgrid. Finally, three numerical simulations are presented to demonstrate the effectiveness of control mechanisms.</p>","PeriodicalId":94059,"journal":{"name":"ISA transactions","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISA transactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.isatra.2025.04.036","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
This paper mainly proposes a novel distributed secondary event-triggering control strategy for AC islanded microgrid, which not only achieves the consistency of frequency and voltage but also considers the proportional sharing of active power. Compared to the traditional fixed periodic communication, the proposed multiple event-triggered strategy only conducts a sparse communication among distributed generators (DGs). For accelerating the convergence speed and saving the control costs efficiently, a time-varying adaptive updating law for frequency and voltage is proposed. Furthermore, it is confirmed that there is no Zeno behavior. Combined with Lyapunov stability theory, the control strategy is proven to be capable for driving the stability and consistency of microgrid. Finally, three numerical simulations are presented to demonstrate the effectiveness of control mechanisms.