DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter
<p dir="ltr">Community microgrids are set to change the landscape of future energy markets. The technology is being deployed in many cities around the globe. However, a wide-scale deployment faces three major issues: initial synchronization of microgrids with the utility grids, slip...
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2021
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| _version_ | 1864513531042332672 |
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| author | Raziq Yaqub (16488878) |
| author2 | Mohamed Ali (343681) Hassan Ali (3348749) |
| author2_role | author author |
| author_facet | Raziq Yaqub (16488878) Mohamed Ali (343681) Hassan Ali (3348749) |
| author_role | author |
| dc.creator.none.fl_str_mv | Raziq Yaqub (16488878) Mohamed Ali (343681) Hassan Ali (3348749) |
| dc.date.none.fl_str_mv | 2021-09-24T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/en14196086 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/DC_Microgrid_Utilizing_Artificial_Intelligence_and_Phasor_Measurement_Unit_Assisted_Inverter/24717624 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Electrical engineering Information and computing sciences Artificial intelligence Distributed computing and systems software artificial intelligence (AI) cloud DC microgrid phasor measurement unit (PMU) inverter electric vehicles synchronization zero crossover distortion slip management |
| dc.title.none.fl_str_mv | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Community microgrids are set to change the landscape of future energy markets. The technology is being deployed in many cities around the globe. However, a wide-scale deployment faces three major issues: initial synchronization of microgrids with the utility grids, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time reference signal for the inverter. To validate the concept, a unique intelligent DC microgrid architecture that employs the proposed Phasor Measurement Unit (PMU) Assisted Inverter (PAI) is also presented, alongside the cloud-based Artificial Intelligence (AI), which harnesses energy from community shared resources, such as batteries and the community’s rooftop solar resources. The results show that the proposed system produces quality output and is 98.5% efficient.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en14196086" target="_blank">https://dx.doi.org/10.3390/en14196086</a></p><p dir="ltr">Disclaimer: The University of Doha for Science and Technology replaced the now-former College of the North Atlantic-Qatar after an Amiri decision in 2022. UDST has become and first national applied University in Qatar; it is also second national University in the country.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_b9809d85f1f5c97568944adaf3b48fc7 |
| identifier_str_mv | 10.3390/en14196086 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24717624 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted InverterRaziq Yaqub (16488878)Mohamed Ali (343681)Hassan Ali (3348749)EngineeringElectrical engineeringInformation and computing sciencesArtificial intelligenceDistributed computing and systems softwareartificial intelligence (AI)cloudDC microgridphasor measurement unit (PMU)inverterelectric vehiclessynchronizationzero crossover distortionslip management<p dir="ltr">Community microgrids are set to change the landscape of future energy markets. The technology is being deployed in many cities around the globe. However, a wide-scale deployment faces three major issues: initial synchronization of microgrids with the utility grids, slip management during its operation, and mitigation of distortions produced by the inverter. This paper proposes a Phasor Measurement Unit (PMU) Assisted Inverter (PAI) that addresses these three issues in a single solution. The proposed PAI continually receives real-time data from a Phasor Measurement Unit installed in the distribution system of a utility company and keeps constructing a real-time reference signal for the inverter. To validate the concept, a unique intelligent DC microgrid architecture that employs the proposed Phasor Measurement Unit (PMU) Assisted Inverter (PAI) is also presented, alongside the cloud-based Artificial Intelligence (AI), which harnesses energy from community shared resources, such as batteries and the community’s rooftop solar resources. The results show that the proposed system produces quality output and is 98.5% efficient.</p><h2>Other Information</h2><p dir="ltr">Published in: Energies<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en14196086" target="_blank">https://dx.doi.org/10.3390/en14196086</a></p><p dir="ltr">Disclaimer: The University of Doha for Science and Technology replaced the now-former College of the North Atlantic-Qatar after an Amiri decision in 2022. UDST has become and first national applied University in Qatar; it is also second national University in the country.</p>2021-09-24T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/en14196086https://figshare.com/articles/journal_contribution/DC_Microgrid_Utilizing_Artificial_Intelligence_and_Phasor_Measurement_Unit_Assisted_Inverter/24717624CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/247176242021-09-24T03:00:00Z |
| spellingShingle | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter Raziq Yaqub (16488878) Engineering Electrical engineering Information and computing sciences Artificial intelligence Distributed computing and systems software artificial intelligence (AI) cloud DC microgrid phasor measurement unit (PMU) inverter electric vehicles synchronization zero crossover distortion slip management |
| status_str | publishedVersion |
| title | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| title_full | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| title_fullStr | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| title_full_unstemmed | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| title_short | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| title_sort | DC Microgrid Utilizing Artificial Intelligence and Phasor Measurement Unit Assisted Inverter |
| topic | Engineering Electrical engineering Information and computing sciences Artificial intelligence Distributed computing and systems software artificial intelligence (AI) cloud DC microgrid phasor measurement unit (PMU) inverter electric vehicles synchronization zero crossover distortion slip management |