Active Distribution Networks Restoration after Extreme Events

After extreme events such as floods, thunderstorms, blizzards and hurricanes there will be devastating effects in the distribution networks which may cause a partial or complete blackout. Then, the major concern for the system operators is to restore the maximum critical loads as soon as possible by...

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Bibliographic Details
Main Authors: S. Ghasemi, A. khodabakhshian, R. Hooshmand
Format: Article
Language:English
Published: University of Mohaghegh Ardabili 2020-08-01
Series:Journal of Operation and Automation in Power Engineering
Subjects:
dgs
Online Access:http://joape.uma.ac.ir/article_828_f9b3e41ff1ee06f467ce677950723aa7.pdf
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spelling doaj-c6afd2d4ec5b47f5810cc2463b58ce342020-11-25T02:09:32ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762020-08-018215216310.22098/joape.2019.5803.1435828Active Distribution Networks Restoration after Extreme EventsS. Ghasemi0A. khodabakhshian1R. Hooshmand2Department of Electrical Engineering, University of Isfahan, Isfahan, IranDepartment of Electrical Engineering, University of Isfahan, Isfahan, IranDepartment of Electrical Engineering, University of Isfahan, Isfahan, IranAfter extreme events such as floods, thunderstorms, blizzards and hurricanes there will be devastating effects in the distribution networks which may cause a partial or complete blackout. Then, the major concern for the system operators is to restore the maximum critical loads as soon as possible by available generation units.  In order to solve this problem, this paper provides a restoration strategy by using Distributed Generations (DGs).  In this strategy, first, the shortest paths between DGs and critical loads are identified. Then, the best paths are determined by using a decision-making method, named PROMOTHEE-II to achieve the goals. The uncertainties for the output power of DGs are also considered in different scenarios. The IEEE 123-node distribution network is used to show the performance of the suggested method. The simulation results clearly show the efficiency of the proposed strategy for critical loads restoration in distribution networks.http://joape.uma.ac.ir/article_828_f9b3e41ff1ee06f467ce677950723aa7.pdfcritical load restorationpromothee-iidgs
collection DOAJ
language English
format Article
sources DOAJ
author S. Ghasemi
A. khodabakhshian
R. Hooshmand
spellingShingle S. Ghasemi
A. khodabakhshian
R. Hooshmand
Active Distribution Networks Restoration after Extreme Events
Journal of Operation and Automation in Power Engineering
critical load restoration
promothee-ii
dgs
author_facet S. Ghasemi
A. khodabakhshian
R. Hooshmand
author_sort S. Ghasemi
title Active Distribution Networks Restoration after Extreme Events
title_short Active Distribution Networks Restoration after Extreme Events
title_full Active Distribution Networks Restoration after Extreme Events
title_fullStr Active Distribution Networks Restoration after Extreme Events
title_full_unstemmed Active Distribution Networks Restoration after Extreme Events
title_sort active distribution networks restoration after extreme events
publisher University of Mohaghegh Ardabili
series Journal of Operation and Automation in Power Engineering
issn 2322-4576
publishDate 2020-08-01
description After extreme events such as floods, thunderstorms, blizzards and hurricanes there will be devastating effects in the distribution networks which may cause a partial or complete blackout. Then, the major concern for the system operators is to restore the maximum critical loads as soon as possible by available generation units.  In order to solve this problem, this paper provides a restoration strategy by using Distributed Generations (DGs).  In this strategy, first, the shortest paths between DGs and critical loads are identified. Then, the best paths are determined by using a decision-making method, named PROMOTHEE-II to achieve the goals. The uncertainties for the output power of DGs are also considered in different scenarios. The IEEE 123-node distribution network is used to show the performance of the suggested method. The simulation results clearly show the efficiency of the proposed strategy for critical loads restoration in distribution networks.
topic critical load restoration
promothee-ii
dgs
url http://joape.uma.ac.ir/article_828_f9b3e41ff1ee06f467ce677950723aa7.pdf
work_keys_str_mv AT sghasemi activedistributionnetworksrestorationafterextremeevents
AT akhodabakhshian activedistributionnetworksrestorationafterextremeevents
AT rhooshmand activedistributionnetworksrestorationafterextremeevents
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