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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Main Authors: Irina I. Picioroaga, Andrei M. Tudose, Dorian O. Sidea, Constantin Bulac
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
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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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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AT dorianosidea supplyrestorationinactivedistributionnetworksbasedonsoftopenpointswithembeddedidcimicrogrids
AT constantinbulac supplyrestorationinactivedistributionnetworksbasedonsoftopenpointswithembeddedidcimicrogrids