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Multi-agent based distributed control architecture for microgrid energy management and optimization

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dc.citedby150
dc.contributor.authorBasir Khan M.R.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorid55812128900en_US
dc.contributor.authorid6508169028en_US
dc.contributor.authorid11340187300en_US
dc.date.accessioned2023-05-29T06:12:29Z
dc.date.available2023-05-29T06:12:29Z
dc.date.issued2016
dc.descriptionClosed loop control systems; Computer architecture; Decentralized control; Distributed parameter control systems; Distributed power generation; Electric power system interconnection; Energy management; Energy resources; Fault tolerance; Game theory; Multi agent systems; Renewable energy resources; Decentralized control architecture; Distributed control architectures; Distributed Energy Resources; Distributed generation system; Micro grid; Multi agent; Non-cooperative game theory; Renewable energy systems; Energy management systemsen_US
dc.description.abstractMost energy management systems are based on a centralized controller that is difficult to satisfy criteria such as fault tolerance and adaptability. Therefore, a new multi-agent based distributed energy management system architecture is proposed in this paper. The distributed generation system is composed of several distributed energy resources and a group of loads. A multi-agent system based decentralized control architecture was developed in order to provide control for the complex energy management of the distributed generation system. Then, non-cooperative game theory was used for the multi-agent coordination in the system. The distributed generation system was assessed by simulation under renewable resource fluctuations, seasonal load demand and grid disturbances. The simulation results show that the implementation of the new energy management system proved to provide more robust and high performance controls than conventional centralized energy management systems. � 2016 Elsevier Ltd. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.enconman.2016.01.011
dc.identifier.epage307
dc.identifier.scopus2-s2.0-84966421203
dc.identifier.spage288
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84966421203&doi=10.1016%2fj.enconman.2016.01.011&partnerID=40&md5=501530f1cea3189ea020f47b2f01af71
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22824
dc.identifier.volume112
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleEnergy Conversion and Management
dc.titleMulti-agent based distributed control architecture for microgrid energy management and optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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