MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS

This paper approaches the minimal loss reconfiguration problem, taking into account the load variations of the systems, through a stochastic reconfiguration process. The Monte Carlo method is used to consider the natural load variation. A normal probability function is used to generate aleatory load...

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Autores principales:	Opazo Mora,Hugo, García-Santander,Luis, López Parra,Enrique, López González,Rodrigo, Mendoza Baeza,Jorge
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2008
Materias:	Reconfiguration distribution Networks loss minimization Monte Carlo method
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052008000100017
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spelling	oai:scielo:S0718-330520080001000172009-03-06MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKSOpazo Mora,HugoGarcía-Santander,LuisLópez Parra,EnriqueLópez González,RodrigoMendoza Baeza,Jorge Reconfiguration distribution Networks loss minimization Monte Carlo method This paper approaches the minimal loss reconfiguration problem, taking into account the load variations of the systems, through a stochastic reconfiguration process. The Monte Carlo method is used to consider the natural load variation. A normal probability function is used to generate aleatory load levels in the nodes. The results of this work show the existence of a set of branches that are frequently eliminated. This generates a tree branch set that best represents the universal randomness of the load. We call it "Expected Branch Set (EBS)". The topology associated to the EBS coincides with that obtained using the average demand values. This makes it unnecessary to generate a considerable number of tests to find that topology that best considers the load variation. The proposed algorithm was applied to two test networks and to a large real network.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.16 n.1 20082008-06-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052008000100017en10.4067/S0718-33052008000100017
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Reconfiguration distribution Networks loss minimization Monte Carlo method
spellingShingle	Reconfiguration distribution Networks loss minimization Monte Carlo method Opazo Mora,Hugo García-Santander,Luis López Parra,Enrique López González,Rodrigo Mendoza Baeza,Jorge MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
description	This paper approaches the minimal loss reconfiguration problem, taking into account the load variations of the systems, through a stochastic reconfiguration process. The Monte Carlo method is used to consider the natural load variation. A normal probability function is used to generate aleatory load levels in the nodes. The results of this work show the existence of a set of branches that are frequently eliminated. This generates a tree branch set that best represents the universal randomness of the load. We call it "Expected Branch Set (EBS)". The topology associated to the EBS coincides with that obtained using the average demand values. This makes it unnecessary to generate a considerable number of tests to find that topology that best considers the load variation. The proposed algorithm was applied to two test networks and to a large real network.
author	Opazo Mora,Hugo García-Santander,Luis López Parra,Enrique López González,Rodrigo Mendoza Baeza,Jorge
author_facet	Opazo Mora,Hugo García-Santander,Luis López Parra,Enrique López González,Rodrigo Mendoza Baeza,Jorge
author_sort	Opazo Mora,Hugo
title	MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
title_short	MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
title_full	MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
title_fullStr	MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
title_full_unstemmed	MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS
title_sort	minimal loss reconfiguration considering random load: applications to real networks
publisher	Universidad de Tarapacá.
publishDate	2008
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052008000100017
work_keys_str_mv	AT opazomorahugo minimallossreconfigurationconsideringrandomloadapplicationstorealnetworks AT garciasantanderluis minimallossreconfigurationconsideringrandomloadapplicationstorealnetworks AT lopezparraenrique minimallossreconfigurationconsideringrandomloadapplicationstorealnetworks AT lopezgonzalezrodrigo minimallossreconfigurationconsideringrandomloadapplicationstorealnetworks AT mendozabaezajorge minimallossreconfigurationconsideringrandomloadapplicationstorealnetworks
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MINIMAL LOSS RECONFIGURATION CONSIDERING RANDOM LOAD: APPLICATIONS TO REAL NETWORKS

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