Optimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithm

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aut.relation.journalElectricityen_NZ
aut.researcherLie, Tek
dc.contributor.authorAl-Tameemi, ZHAen_NZ
dc.contributor.authorLie, TTen_NZ
dc.contributor.authorFoo, Gen_NZ
dc.contributor.authorBlaabjerg, Fen_NZ
dc.date.accessioned2022-08-09T02:33:00Z
dc.date.available2022-08-09T02:33:00Z
dc.date.copyright2022-08-08en_NZ
dc.date.issued2022-08-08en_NZ
dc.description.abstractMicrogrids (MGs) are capable of playing an important role in the future of intelligent energy systems. This can be achieved by allowing the effective and seamless integration of distributed energy resources (DERs) loads, besides energy-storage systems (ESS) in the local area, so they are gaining attraction worldwide. In this regard, a DC MG is an economical, flexible, and dependable solution requiring a trustworthy control structure such as a hierarchical control strategy to be appropriately coordinated and used to electrify remote areas. Two control layers are involved in the hierarchy control strategy, including local- and global-control levels. However, this research focuses mainly on the issues of DC MG’s local control layer under various load interruptions and power-production fluctuations, including inaccurate power-sharing among sources and unregulated DC-bus voltage of the microgrid, along with a high ripple of battery current. Therefore, this work suggests developing local control levels for the DC MG based on the hybrid particle swarm optimization/grey wolf optimizer (HPSO–GWO) algorithm to address these problems. The key results of the simulation studies reveal that the proposed control scheme has achieved significant improvement in terms of voltage adjustment and power distribution between photovoltaic (PV) and battery technologies accompanied by a supercapacitor, in comparison to the existing control scheme. Moreover, the settling time and overshoot/undershoot are minimized despite the tremendous load and generation variations, which proves the proposed method’s efficiency.
dc.identifier.citationElectricity, 3(3), 346–364. https://doi.org/10.3390/electricity3030019
dc.identifier.doi10.3390/electricity3030019en_NZ
dc.identifier.issn2673-4826en_NZ
dc.identifier.urihttps://hdl.handle.net/10292/15355
dc.publisherMDPI
dc.relation.urihttps://www.mdpi.com/2673-4826/3/3/19
dc.rights© 2022 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.accessrightsOpenAccessen_NZ
dc.subjectDC microgrid; Voltage regulation; Power sharing (PS); Local control layers; GWO; Hybrid PSO–GWO
dc.titleOptimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithmen_NZ
dc.typeJournal Article
pubs.elements-id463091
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies
pubs.organisational-data/AUT/Faculty of Design & Creative Technologies/School of Engineering, Computer & Mathematical Sciences
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies
pubs.organisational-data/AUT/PBRF/PBRF Design and Creative Technologies/PBRF ECMS
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