Publication:
Anticipatory response model for multi-agent based energy management system in a standalone microgrid

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dc.citedby1
dc.contributor.authorKhan M.R.B.en_US
dc.contributor.authorPasupuleti J.en_US
dc.contributor.authorJidin R.en_US
dc.contributor.authorid55812128900en_US
dc.contributor.authorid11340187300en_US
dc.contributor.authorid6508169028en_US
dc.date.accessioned2023-05-29T06:38:14Z
dc.date.available2023-05-29T06:38:14Z
dc.date.issued2017
dc.descriptionDistributed power generation; Energy management systems; Energy resources; Forecasting; Game theory; Multi agent systems; Renewable energy resources; Anticipatory response; Auto regressive models; Centralized controllers; Micro grid; Multi agent; Multiagent architecture; Predictive algorithms; Renewable energies; Electric load dispatchingen_US
dc.description.abstractIn this paper, multi-agent architecture was used to provide control for standalone microgrid with distributed generations. Therefore, to achieve a faster control compared to the centralized controller, each agent incorporated with a local prediction or forecasting model to provide anticipatory responses. To accomplish their common goals successfully, the agents cooperated based on facilitator architecture with game-theory. Initially, the agents estimate its own parameters and dynamically adjust them by playing non-cooperative game with other agents. The predictive algorithm is based on autoregressive model where each agent will predict the load demand alongside renewable energy resources in order to dynamically regulate the control parameters. This will provide a faster response where the agents will anticipate future load demand and available renewable resources and adjust their parameters beforehand. Hence, this will minimize the fluctuations of voltage and frequency in the microgrid leading to more efficient power dispatch and lower power losses. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7951647
dc.identifier.doi10.1109/PECON.2016.7951647
dc.identifier.epage691
dc.identifier.scopus2-s2.0-85024400881
dc.identifier.spage686
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400881&doi=10.1109%2fPECON.2016.7951647&partnerID=40&md5=d56dea8d91bcd962dd9138a2c0a7539b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23181
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitlePECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding
dc.titleAnticipatory response model for multi-agent based energy management system in a standalone microgriden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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