An intelligent interconnection module for multiple self-healed interconnected microgrids
Connecting multiple microgrids to form interconnected microgrids can improve power distribution systems resiliency and reliability. However, there is uncertainty of balanced power sharing among multiple microgrids while interconnecting the microgrids. To address this issue, in this paper an intellig...
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my.um.eprints.354392023-10-12T08:54:10Z http://eprints.um.edu.my/35439/ An intelligent interconnection module for multiple self-healed interconnected microgrids Ahmad, Shameem Mekhilef, Saad Mokhlis, Hazlie TK Electrical engineering. Electronics Nuclear engineering Connecting multiple microgrids to form interconnected microgrids can improve power distribution systems resiliency and reliability. However, there is uncertainty of balanced power sharing among multiple microgrids while interconnecting the microgrids. To address this issue, in this paper an intelligent module for interconnecting multiple microgrids with self-healing capability is developed by considering the power mismatch between distributed energy sources generation capacity and load demand of all the microgrids. The advantage of the proposed module is its circuitry is simple, flexible and real-time implementation is easy. To validate the performance of the interconnecting module, two microgrid testbeds are considered in this study and real time simulations are carried using real time digital simulator. The results obtained have ensured the efficacy of the developed intelligent interconnecting module. © 2021 IEEE. 2021 Conference or Workshop Item PeerReviewed Ahmad, Shameem and Mekhilef, Saad and Mokhlis, Hazlie (2021) An intelligent interconnection module for multiple self-healed interconnected microgrids. In: 4th IEEE International Conference on Computing, Power and Communication Technologies, GUCON 2021, 24 - 26 September 2021, Kuala Lumpur. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119100386&doi=10.1109%2fGUCON50781.2021.9573958&partnerID=40&md5=06fa5f79dd9767f75aa70bcd554082e3 |
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TK Electrical engineering. Electronics Nuclear engineering Ahmad, Shameem Mekhilef, Saad Mokhlis, Hazlie An intelligent interconnection module for multiple self-healed interconnected microgrids |
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Connecting multiple microgrids to form interconnected microgrids can improve power distribution systems resiliency and reliability. However, there is uncertainty of balanced power sharing among multiple microgrids while interconnecting the microgrids. To address this issue, in this paper an intelligent module for interconnecting multiple microgrids with self-healing capability is developed by considering the power mismatch between distributed energy sources generation capacity and load demand of all the microgrids. The advantage of the proposed module is its circuitry is simple, flexible and real-time implementation is easy. To validate the performance of the interconnecting module, two microgrid testbeds are considered in this study and real time simulations are carried using real time digital simulator. The results obtained have ensured the efficacy of the developed intelligent interconnecting module. © 2021 IEEE. |
format |
Conference or Workshop Item |
author |
Ahmad, Shameem Mekhilef, Saad Mokhlis, Hazlie |
author_facet |
Ahmad, Shameem Mekhilef, Saad Mokhlis, Hazlie |
author_sort |
Ahmad, Shameem |
title |
An intelligent interconnection module for multiple self-healed interconnected microgrids |
title_short |
An intelligent interconnection module for multiple self-healed interconnected microgrids |
title_full |
An intelligent interconnection module for multiple self-healed interconnected microgrids |
title_fullStr |
An intelligent interconnection module for multiple self-healed interconnected microgrids |
title_full_unstemmed |
An intelligent interconnection module for multiple self-healed interconnected microgrids |
title_sort |
intelligent interconnection module for multiple self-healed interconnected microgrids |
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2021 |
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http://eprints.um.edu.my/35439/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119100386&doi=10.1109%2fGUCON50781.2021.9573958&partnerID=40&md5=06fa5f79dd9767f75aa70bcd554082e3 |
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