Microgrids for power system resilience enhancement
Power system resilience is defined as the ability of power grids to anticipate, withstand, adapt and recover from high-impact low-probability (HILP) events. There are both long-term and short-term measures that system operators can employ for resilience reinforcement. Longer-term measures include in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2022-06-01
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| Series: | iEnergy |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/IEN.2022.0032 |
| _version_ | 1811198125883260928 |
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| author | Ektor-Ioannis E. Stasinos Dimitris N. Trakas Nikos D. Hatziargyriou |
| author_facet | Ektor-Ioannis E. Stasinos Dimitris N. Trakas Nikos D. Hatziargyriou |
| author_sort | Ektor-Ioannis E. Stasinos |
| collection | DOAJ |
| description | Power system resilience is defined as the ability of power grids to anticipate, withstand, adapt and recover from high-impact low-probability (HILP) events. There are both long-term and short-term measures that system operators can employ for resilience reinforcement. Longer-term measures include infrastructure hardening and resilient planning, while short-term operational measures are applied in the pre-event, during-event and post-event phases. Microgrids (MGs) can effectively enhance resilience for both transmission and distribution systems, due to their ability to operate in a controlled, coordinated way, when connected to the main power grid and in islanded mode. In this paper, MG-based strategies for resilience enhancement are presented, including MG-based resilient planning and MG-based operational measures, consisting of preventive MG scheduling and emergency measures and MG-based system restoration. Classification of literature is made by considering whether the transmission system, distribution system or individual MG resilience is targeted. The way uncertainties are handled by various methods is also outlined. Finally, challenges and future research requirements for improving MG-based power system resilience are highlighted. |
| first_indexed | 2024-04-12T01:25:36Z |
| format | Article |
| id | doaj.art-a4434063fe164cd8a00fa5519a48f6ca |
| institution | Directory Open Access Journal |
| issn | 2771-9197 |
| language | English |
| last_indexed | 2024-04-12T01:25:36Z |
| publishDate | 2022-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | iEnergy |
| spelling | doaj.art-a4434063fe164cd8a00fa5519a48f6ca2022-12-22T03:53:40ZengTsinghua University PressiEnergy2771-91972022-06-011215816910.23919/IEN.2022.0032Microgrids for power system resilience enhancementEktor-Ioannis E. Stasinos0Dimitris N. Trakas1Nikos D. Hatziargyriou2School of Electrical and Computer Engineering, National Technical University of Athens, Athens 15773, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, Athens 15773, GreeceSchool of Electrical and Computer Engineering, National Technical University of Athens, Athens 15773, GreecePower system resilience is defined as the ability of power grids to anticipate, withstand, adapt and recover from high-impact low-probability (HILP) events. There are both long-term and short-term measures that system operators can employ for resilience reinforcement. Longer-term measures include infrastructure hardening and resilient planning, while short-term operational measures are applied in the pre-event, during-event and post-event phases. Microgrids (MGs) can effectively enhance resilience for both transmission and distribution systems, due to their ability to operate in a controlled, coordinated way, when connected to the main power grid and in islanded mode. In this paper, MG-based strategies for resilience enhancement are presented, including MG-based resilient planning and MG-based operational measures, consisting of preventive MG scheduling and emergency measures and MG-based system restoration. Classification of literature is made by considering whether the transmission system, distribution system or individual MG resilience is targeted. The way uncertainties are handled by various methods is also outlined. Finally, challenges and future research requirements for improving MG-based power system resilience are highlighted.https://www.sciopen.com/article/10.23919/IEN.2022.0032natural disastersresiliencemicrogriddistributed energy resourcesresilient planningoperational measures for resilience |
| spellingShingle | Ektor-Ioannis E. Stasinos Dimitris N. Trakas Nikos D. Hatziargyriou Microgrids for power system resilience enhancement iEnergy natural disasters resilience microgrid distributed energy resources resilient planning operational measures for resilience |
| title | Microgrids for power system resilience enhancement |
| title_full | Microgrids for power system resilience enhancement |
| title_fullStr | Microgrids for power system resilience enhancement |
| title_full_unstemmed | Microgrids for power system resilience enhancement |
| title_short | Microgrids for power system resilience enhancement |
| title_sort | microgrids for power system resilience enhancement |
| topic | natural disasters resilience microgrid distributed energy resources resilient planning operational measures for resilience |
| url | https://www.sciopen.com/article/10.23919/IEN.2022.0032 |
| work_keys_str_mv | AT ektorioannisestasinos microgridsforpowersystemresilienceenhancement AT dimitrisntrakas microgridsforpowersystemresilienceenhancement AT nikosdhatziargyriou microgridsforpowersystemresilienceenhancement |