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Self-triggered coordination of distributed renewable generators for frequency restoration in islanded microgrids: A low communication and computation strategy
Yulin Chen1; Donglian Qi1,2; Hongxun Hui3; Shaohua Yang3; Yurun Gu4; Yurun Gu2; Yi Zheng2; Jiangfeng Zhang5
2023-02-23
Source PublicationAdvances in Applied Energy
ISSN2666-7924
Volume10Pages:100128
Abstract

Microgrid provides a promising solution to consume more distributed renewable energies. To coordinate the increasingly developed distributed renewable generators in a high flexibility and high efficiency way, distributed event-triggered mechanisms have been widely investigated in the literature to reduce the communication requirement and hence improve the control performance of microgrids. However, most of the event-triggered mechanisms mandate continuous calculation of complicated triggering conditions, which may in turn impose the computation burden of the controller and increase additional energy cost. To this end, this paper presents a distributed self-triggered control strategy for the frequency restoration in islanded microgrids with the aid of a linear clock. With this self-triggered solution, each distributed generator's controller decides its own control and communication actions based on monitoring the linear clock, which excludes continuous calculation of any triggering conditions. Thus, the communication and computation costs can be reduced simultaneously. Moreover, Zeno behavior can be naturally excluded by the above design. The results of theoretical analysis and simulations show that the proposed distributed self-triggered control scheme can effectively coordinate distributed renewable generators with very low communication and computation requirements. Therefore, this research can improve the coordination efficiency of microgrids greatly, which is very useful for guiding the efficient operation of large-scale distributed renewable generators.

KeywordControl Efficiency Distributed Control Distributed Renewable Generators Frequency Restoration Islanded Microgrid Self-triggered Mechanism
DOI10.1016/j.adapen.2023.100128
URLView the original
Indexed ByESCI
Language英語English
WOS Research AreaEnergy & Fuels
WOS SubjectEnergy & Fuels
WOS IDWOS:001028232600001
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85149471630
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorDonglian Qi; Hongxun Hui
Affiliation1.Hainan Institute of Zhejiang University, Sanya, Yazhou Bay Science and Technology City, Hainan Province, 572025, China
2.Zhejiang University, Hangzhou, 38 Zheda Road, Zhejiang Province, 310027, China
3.University of Macau, Taipa, Avenida da Universidade, Macao, 999078, China
4.Macau University of Science and Technology, Taipa, Avenida Wai Long, Macao, 999078, China
5.State Grid Zhejiang Electric Power Research Institute, Hangzhou, Zhaohui 8th District, Gongshu District, Zhejiang Provence, 310027, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yulin Chen,Donglian Qi,Hongxun Hui,et al. Self-triggered coordination of distributed renewable generators for frequency restoration in islanded microgrids: A low communication and computation strategy[J]. Advances in Applied Energy, 2023, 10, 100128.
APA Yulin Chen., Donglian Qi., Hongxun Hui., Shaohua Yang., Yurun Gu., Yurun Gu., Yi Zheng., & Jiangfeng Zhang (2023). Self-triggered coordination of distributed renewable generators for frequency restoration in islanded microgrids: A low communication and computation strategy. Advances in Applied Energy, 10, 100128.
MLA Yulin Chen,et al."Self-triggered coordination of distributed renewable generators for frequency restoration in islanded microgrids: A low communication and computation strategy".Advances in Applied Energy 10(2023):100128.
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