Reconfiguration of distribution system using a binary programming model
Distribution system reconfiguration aims to choose a switching combination of branches of the system that optimize certain performance criteria of power supply while maintaining some specified constraints. The ability to automatically reconfigure the network quickly and reliably is a key requirement...
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Format: | Article |
Language: | English |
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AIMS Press
2016-03-01
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Series: | AIMS Energy |
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Online Access: | http://www.aimspress.com/energy/article/720/fulltext.html |
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author | Md Mashud Hyder Kaushik Mahata |
author_facet | Md Mashud Hyder Kaushik Mahata |
author_sort | Md Mashud Hyder |
collection | DOAJ |
description | Distribution system reconfiguration aims to choose a switching combination of branches of the system that optimize certain performance criteria of power supply while maintaining some specified constraints. The ability to automatically reconfigure the network quickly and reliably is a key requirement of self-healing networks which is an important part of the future Smart Grid system. We present a unified mathematical framework, which allows us to consider different objectives of distribution system reconfiguration problems in a flexible manner, and investigate its performance. The resulting optimization problem is in quadratic form which can be solved efficiently by using a quadratic mixed integer programming (QMIP) solver. The proposed method has been applied for reconfiguring different standard test distribution systems. |
first_indexed | 2024-12-10T22:27:12Z |
format | Article |
id | doaj.art-6995f90d18bf417dbec2322efb2977de |
institution | Directory Open Access Journal |
issn | 2333-8334 |
language | English |
last_indexed | 2024-12-10T22:27:12Z |
publishDate | 2016-03-01 |
publisher | AIMS Press |
record_format | Article |
series | AIMS Energy |
spelling | doaj.art-6995f90d18bf417dbec2322efb2977de2022-12-22T01:31:08ZengAIMS PressAIMS Energy2333-83342016-03-014346148010.3934/energy.2016.3.461energy-04-00461Reconfiguration of distribution system using a binary programming modelMd Mashud Hyder0Kaushik Mahata1Department of Electrical Engineering, University of Newcastle, Callaghan, NSW-2308, Australia.Department of Electrical Engineering, University of Newcastle, Callaghan, NSW-2308, Australia.Distribution system reconfiguration aims to choose a switching combination of branches of the system that optimize certain performance criteria of power supply while maintaining some specified constraints. The ability to automatically reconfigure the network quickly and reliably is a key requirement of self-healing networks which is an important part of the future Smart Grid system. We present a unified mathematical framework, which allows us to consider different objectives of distribution system reconfiguration problems in a flexible manner, and investigate its performance. The resulting optimization problem is in quadratic form which can be solved efficiently by using a quadratic mixed integer programming (QMIP) solver. The proposed method has been applied for reconfiguring different standard test distribution systems.http://www.aimspress.com/energy/article/720/fulltext.htmlRadial distribution networksreconfigurationinteger programming |
spellingShingle | Md Mashud Hyder Kaushik Mahata Reconfiguration of distribution system using a binary programming model AIMS Energy Radial distribution networks reconfiguration integer programming |
title | Reconfiguration of distribution system using a binary programming model |
title_full | Reconfiguration of distribution system using a binary programming model |
title_fullStr | Reconfiguration of distribution system using a binary programming model |
title_full_unstemmed | Reconfiguration of distribution system using a binary programming model |
title_short | Reconfiguration of distribution system using a binary programming model |
title_sort | reconfiguration of distribution system using a binary programming model |
topic | Radial distribution networks reconfiguration integer programming |
url | http://www.aimspress.com/energy/article/720/fulltext.html |
work_keys_str_mv | AT mdmashudhyder reconfigurationofdistributionsystemusingabinaryprogrammingmodel AT kaushikmahata reconfigurationofdistributionsystemusingabinaryprogrammingmodel |