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Review of applications of fuzzy logic in multi-agent-based control system of AC-DC hybrid microgrid

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dc.contributor.author Hettiarachchi, HWD
dc.contributor.author Hemapala, KTMU
dc.contributor.author Jayasekara, AGBP
dc.date.accessioned 2023-04-04T06:10:45Z
dc.date.available 2023-04-04T06:10:45Z
dc.date.issued 2019
dc.identifier.citation Hettiarachchi, H. W. D., Hemapala, K. T. M. U., & Jayasekara, A. G. B. P. (2019). Review of applications of fuzzy logic in multi-agent-based control system of AC-DC hybrid microgrid. IEEE Access, 7, 1284–1299. https://doi.org/10.1109/ACCESS.2018.2884503 en_US
dc.identifier.issn 2169-3536( Online) en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/20853
dc.description.abstract High penetration of renewable energies to smart grid technologies has lead the traditional electrical transmission and distribution network to undergo a significant evolution. Here, advanced control strategies are required to ensure the load balance in order to keep the voltage and frequency variation within an acceptable range. With the integration of dc energy sources and storages, another control constraint would be added due to the limitations in a storage system. Among recent developments in control techniques, fuzzy logic and multi agent systems have emerged due to its strong control action in an uncertain environment. Researchers have made satisfactory efforts in optimizing hybrid renewable energy sources using these technologies. This paper strives to highlight the approaches of controlling the energy storage systems, dc voltage, frequency, and ac voltage with the aid of the fuzzy logic and multi agent systems related controllers. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.subject Microgrid en_US
dc.subject Fuzzy Logic en_US
dc.subject Multi agents en_US
dc.subject Battery Energy Storage System en_US
dc.title Review of applications of fuzzy logic in multi-agent-based control system of AC-DC hybrid microgrid en_US
dc.type Article-Full-text en_US
dc.identifier.year 2019 en_US
dc.identifier.journal IEEE Access en_US
dc.identifier.volume 7 en_US
dc.identifier.database IEEE Xplore en_US
dc.identifier.pgnos 1284 - 1299 en_US
dc.identifier.doi 10.1109/ACCESS.2018.2884503 en_US


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