Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations
In this study, the authors study the operation of autonomous microgrids (MGs) in emergency situations such as the presence of large physical disturbances or cyber attacks. Traditional approaches to enhance system-wide stability, such as automatic generation control, are insufficient for stabilising...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-10-01
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| Series: | IET Cyber-Physical Systems |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5019 |
| _version_ | 1818338533531713536 |
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| author | Moein Sabounchi Jin Wei Jin Wei Dongchan Lee Dongchan Lee Deepa Kundur |
| author_facet | Moein Sabounchi Jin Wei Jin Wei Dongchan Lee Dongchan Lee Deepa Kundur |
| author_sort | Moein Sabounchi |
| collection | DOAJ |
| description | In this study, the authors study the operation of autonomous microgrids (MGs) in emergency situations such as the presence of large physical disturbances or cyber attacks. Traditional approaches to enhance system-wide stability, such as automatic generation control, are insufficient for stabilising MGs in some emergency situations due to the correspondingly lower capacity of distributed energy resources. To address this challenge, in this study, they develop an adaptive flocking-based framework that provides control-based MG resilience. The contribution of the authors’ work is three-fold. First, they effectively model the complex and dynamic dependencies amongst MG components by exploiting flocking theory. Second, they propose an adaptive granular control strategy based on the modelled dynamic dependencies. Third, they also explore the role of energy storage systems to facilitate distributed generations in achieving autonomous MG power balance in the presence of disruptions of different natures. Case studies demonstrate the effectiveness of the proposed strategy in stabilising MGs in response to physical disturbances and cyber attacks. |
| first_indexed | 2024-12-13T15:12:37Z |
| format | Article |
| id | doaj.art-4922be6ae1f94ca2a27185371c3e334c |
| institution | Directory Open Access Journal |
| issn | 2398-3396 |
| language | English |
| last_indexed | 2024-12-13T15:12:37Z |
| publishDate | 2018-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Cyber-Physical Systems |
| spelling | doaj.art-4922be6ae1f94ca2a27185371c3e334c2022-12-21T23:40:50ZengWileyIET Cyber-Physical Systems2398-33962018-10-0110.1049/iet-cps.2018.5019IET-CPS.2018.5019Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situationsMoein Sabounchi0Jin Wei1Jin Wei2Dongchan Lee3Dongchan Lee4Deepa Kundur5Department of Electrical and Computer Engineering, The University of AkronDepartment of Electrical and Computer Engineering, The University of AkronDepartment of Electrical and Computer Engineering, The University of AkronDepartment of Electrical and Computer Engineering, The University of AkronDepartment of Electrical and Computer Engineering, The University of AkronDepartment of Electrical and Computer Engineering, The University of AkronIn this study, the authors study the operation of autonomous microgrids (MGs) in emergency situations such as the presence of large physical disturbances or cyber attacks. Traditional approaches to enhance system-wide stability, such as automatic generation control, are insufficient for stabilising MGs in some emergency situations due to the correspondingly lower capacity of distributed energy resources. To address this challenge, in this study, they develop an adaptive flocking-based framework that provides control-based MG resilience. The contribution of the authors’ work is three-fold. First, they effectively model the complex and dynamic dependencies amongst MG components by exploiting flocking theory. Second, they propose an adaptive granular control strategy based on the modelled dynamic dependencies. Third, they also explore the role of energy storage systems to facilitate distributed generations in achieving autonomous MG power balance in the presence of disruptions of different natures. Case studies demonstrate the effectiveness of the proposed strategy in stabilising MGs in response to physical disturbances and cyber attacks.https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5019power generation controlenergy storagedistributed power generationMGautonomous MG power balancedistributed generationsenergy storage systemsmodelled dynamic dependenciesflocking theorycontrol-based MG resilienceadaptive flocking-based frameworkdistributed energy resourcescorrespondingly lower capacityautomatic generation controlsystem-wide stabilitytraditional approachescyber attacksphysical disturbancesemergency situationsautonomous microgridsadaptive granular control strategy |
| spellingShingle | Moein Sabounchi Jin Wei Jin Wei Dongchan Lee Dongchan Lee Deepa Kundur Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations IET Cyber-Physical Systems power generation control energy storage distributed power generation MG autonomous MG power balance distributed generations energy storage systems modelled dynamic dependencies flocking theory control-based MG resilience adaptive flocking-based framework distributed energy resources correspondingly lower capacity automatic generation control system-wide stability traditional approaches cyber attacks physical disturbances emergency situations autonomous microgrids adaptive granular control strategy |
| title | Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations |
| title_full | Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations |
| title_fullStr | Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations |
| title_full_unstemmed | Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations |
| title_short | Flocking-based adaptive granular control strategy for autonomous microgrids in emergency situations |
| title_sort | flocking based adaptive granular control strategy for autonomous microgrids in emergency situations |
| topic | power generation control energy storage distributed power generation MG autonomous MG power balance distributed generations energy storage systems modelled dynamic dependencies flocking theory control-based MG resilience adaptive flocking-based framework distributed energy resources correspondingly lower capacity automatic generation control system-wide stability traditional approaches cyber attacks physical disturbances emergency situations autonomous microgrids adaptive granular control strategy |
| url | https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5019 |
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