Enhanced Coordination in the PV–HESS Microgrids Cluster: Introducing a New Distributed Event Consensus Algorithm

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aut.relation.endpage293
aut.relation.issue2
aut.relation.journalEnergies
aut.relation.startpage293
aut.relation.volume17
dc.contributor.authorAl-Tameemi, Zaid Hamid Abdulabbas
dc.contributor.authorLie, Tek Tjing
dc.contributor.authorZamora, Ramon
dc.contributor.authorBlaabjerg, Frede
dc.date.accessioned2024-01-31T00:24:19Z
dc.date.available2024-01-31T00:24:19Z
dc.date.issued2024-01-06
dc.description.abstractTo ensure reliable power delivery to customers under potential disturbances, the coordination of a microgrid cluster (MGC) is essential. Various control strategies—centralized, decentralized, distributed, and hierarchical—have been explored in the literature to achieve this goal. The hierarchical control method, with three distinct levels, has proven effective in fostering coordination among microgrids (MGs) within the cluster. The third control level, utilizing a time-triggering consensus protocol, relies on a continuous and reliable communication network for data exchange among MGs, leading to resource-intensive operations and potential data congestion. Moreover, uncertainties introduced by renewable energy sources (RESs) can adversely impact cluster performance. In response to these challenges, this paper introduces a new distributed event-triggered consensus algorithm (DETC) to enhance the efficiency in handling the aforementioned issues. The proposed algorithm significantly reduces communication burdens, addressing resource usage concerns. The performance of this approach is evaluated through simulations of a cluster comprising four DC MGs, in each of which were PV and a hybrid Battery-Super capacitor in the MATLAB environment. The key findings indicate that the proposed DETC algorithm achieves commendable results in terms of voltage regulation, precise power sharing among sources, and a reduction in triggering instants. Based on these results, this method can be deemed as a good development in MGC management, providing a more efficient and reliable means of coordination, particularly in scenarios with dynamic loads and renewable energy integration. It is also a viable option for current microgrid systems, due to its ability to decrease communication loads while retaining excellent performance.
dc.identifier.citationEnergies, ISSN: 1996-1073 (Print); 1996-1073 (Online), MDPI AG, 17(2), 293-293. doi: 10.3390/en17020293
dc.identifier.doi10.3390/en17020293
dc.identifier.issn1996-1073
dc.identifier.issn1996-1073
dc.identifier.urihttp://hdl.handle.net/10292/17165
dc.languageen
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/1996-1073/17/2/293
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject40 Engineering
dc.subject4008 Electrical Engineering
dc.subject4009 Electronics, Sensors and Digital Hardware
dc.subject7 Affordable and Clean Energy
dc.subject13 Climate Action
dc.subject02 Physical Sciences
dc.subject09 Engineering
dc.subject33 Built environment and design
dc.subject40 Engineering
dc.subject51 Physical sciences
dc.titleEnhanced Coordination in the PV–HESS Microgrids Cluster: Introducing a New Distributed Event Consensus Algorithm
dc.typeJournal Article
pubs.elements-id534386
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