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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Main Authors: Md Mashud Hyder, Kaushik Mahata
Format: Article
Language:English
Published: AIMS Press 2016-03-01
Series:AIMS Energy
Subjects:
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.
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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