Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids
As disturbances due to natural disasters or man-made attacks intensify awareness regarding power systems’ resilience enhancement, the scientific community concentrates on exploring state-of-the-art technologies for emergency supply restoration strategies. Recent studies are increasingly focusing on...
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MDPI AG
2022-01-01
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Series: | Mathematics |
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Online Access: | https://www.mdpi.com/2227-7390/10/2/211 |
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author | Irina I. Picioroaga Andrei M. Tudose Dorian O. Sidea Constantin Bulac |
author_facet | Irina I. Picioroaga Andrei M. Tudose Dorian O. Sidea Constantin Bulac |
author_sort | Irina I. Picioroaga |
collection | DOAJ |
description | As disturbances due to natural disasters or man-made attacks intensify awareness regarding power systems’ resilience enhancement, the scientific community concentrates on exploring state-of-the-art technologies for emergency supply restoration strategies. Recent studies are increasingly focusing on the expanded flexibility of soft open points (SOPs) compared to conventional tie-switches to increase the restoration rate of critical loads; however, the potential of this novel technology is not limited to this aspect, with SOPs being used to improve the voltage level and increase the hosting capacity of renewable energy sources (RESs). This paper proposes a deterministic model for the optimal coordination of SOPs and distributed resources in an active distribution network (ADN) aiming at re-establishing the energy supply to critical loads after a prolonged interruption occurrence. At the same time, the support of <i>DC</i> microgrids with integrated RESs, embedded in SOPs, for the restoration process is explored. The efficiency of the proposed optimization model is verified based on a 24-h analysis performed on the modified IEEE 33-bus system, while considering the load and generation uncertainties as well. |
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language | English |
last_indexed | 2024-03-10T01:01:32Z |
publishDate | 2022-01-01 |
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spelling | doaj.art-67145bed125b4c1b90358580deaaa64f2023-11-23T14:34:02ZengMDPI AGMathematics2227-73902022-01-0110221110.3390/math10020211Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> MicrogridsIrina I. Picioroaga0Andrei M. Tudose1Dorian O. Sidea2Constantin Bulac3Department of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, RomaniaDepartment of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, RomaniaDepartment of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, RomaniaDepartment of Electrical Power Systems, University “Politehnica” of Bucharest, 060042 Bucharest, RomaniaAs disturbances due to natural disasters or man-made attacks intensify awareness regarding power systems’ resilience enhancement, the scientific community concentrates on exploring state-of-the-art technologies for emergency supply restoration strategies. Recent studies are increasingly focusing on the expanded flexibility of soft open points (SOPs) compared to conventional tie-switches to increase the restoration rate of critical loads; however, the potential of this novel technology is not limited to this aspect, with SOPs being used to improve the voltage level and increase the hosting capacity of renewable energy sources (RESs). This paper proposes a deterministic model for the optimal coordination of SOPs and distributed resources in an active distribution network (ADN) aiming at re-establishing the energy supply to critical loads after a prolonged interruption occurrence. At the same time, the support of <i>DC</i> microgrids with integrated RESs, embedded in SOPs, for the restoration process is explored. The efficiency of the proposed optimization model is verified based on a 24-h analysis performed on the modified IEEE 33-bus system, while considering the load and generation uncertainties as well.https://www.mdpi.com/2227-7390/10/2/211soft open pointservice restorationload uncertaintyfuzzy c-meansmicrogrids |
spellingShingle | Irina I. Picioroaga Andrei M. Tudose Dorian O. Sidea Constantin Bulac Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids Mathematics soft open point service restoration load uncertainty fuzzy c-means microgrids |
title | Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids |
title_full | Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids |
title_fullStr | Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids |
title_full_unstemmed | Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids |
title_short | Supply Restoration in Active Distribution Networks Based on Soft Open Points with Embedded <i>DC</i> Microgrids |
title_sort | supply restoration in active distribution networks based on soft open points with embedded i dc i microgrids |
topic | soft open point service restoration load uncertainty fuzzy c-means microgrids |
url | https://www.mdpi.com/2227-7390/10/2/211 |
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