A new approach to solve the distribution system planning problem considering automatic reclosers

ABSTRACT This article describes two new methodologies for optimal distribution system planning considering automatic reclosers to improve reliability indices. The first methodology proposed in this paper employs a two-stage cascade strategy to solve the problem. In the first stage a mono-objective T...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Montoya G.,Oscar D., Grajales O.,Alejandro, Hincapié I.,Ricardo A., Granada E.,Mauricio
Lenguaje:	English
Publicado:	Universidad de Tarapacá. 2017
Materias:	Distribution systems min-max criterion multi-objective optimization NSGA-II Algorithm reclosers reliability
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000300415
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:scielo:S0718-33052017000300415
record_format	dspace
spelling	oai:scielo:S0718-330520170003004152017-09-06A new approach to solve the distribution system planning problem considering automatic reclosersMontoya G.,Oscar D.Grajales O.,AlejandroHincapié I.,Ricardo A.Granada E.,Mauricio Distribution systems min-max criterion multi-objective optimization NSGA-II Algorithm reclosers reliability ABSTRACT This article describes two new methodologies for optimal distribution system planning considering automatic reclosers to improve reliability indices. The first methodology proposed in this paper employs a two-stage cascade strategy to solve the problem. In the first stage a mono-objective Tabu Search (TS) algorithm is used to find the optimal distribution system topology. The installation cost of new elements, increasing capacity on existing elements and operational costs associated with technical losses are considered. In the second stage a Non-Dominated Sorting Genetic Algorithm known as NSGA II is employed, considering the optimal distribution system topology found by the first stage, and thus, solving the problem of optimal location of automatic reclosers in distribution systems. The non-supplied energy level of the network and installation cost of reclosers are considered as objective functions; and the min-max criterion to select a point on the optimal Pareto front is used. In the second methodology, a master-slave based optimization algorithm is used to find the best network topology including the associated to automatic reclosers. Master algorithm is a TS algorithm which is responsible to direct the optimization process through solution space, whereby, for each neighbor generated, the slave algorithm NSGA II is applied and min-max criterion is used to determine a configuration of reclosers for actual network topology. The proposed methodologies are applied on three-phase version of IEEE 34 nodes test feeder, with high quality results.info:eu-repo/semantics/openAccessUniversidad de Tarapacá.Ingeniare. Revista chilena de ingeniería v.25 n.3 20172017-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000300415en10.4067/S0718-33052017000300415
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Distribution systems min-max criterion multi-objective optimization NSGA-II Algorithm reclosers reliability
spellingShingle	Distribution systems min-max criterion multi-objective optimization NSGA-II Algorithm reclosers reliability Montoya G.,Oscar D. Grajales O.,Alejandro Hincapié I.,Ricardo A. Granada E.,Mauricio A new approach to solve the distribution system planning problem considering automatic reclosers
description	ABSTRACT This article describes two new methodologies for optimal distribution system planning considering automatic reclosers to improve reliability indices. The first methodology proposed in this paper employs a two-stage cascade strategy to solve the problem. In the first stage a mono-objective Tabu Search (TS) algorithm is used to find the optimal distribution system topology. The installation cost of new elements, increasing capacity on existing elements and operational costs associated with technical losses are considered. In the second stage a Non-Dominated Sorting Genetic Algorithm known as NSGA II is employed, considering the optimal distribution system topology found by the first stage, and thus, solving the problem of optimal location of automatic reclosers in distribution systems. The non-supplied energy level of the network and installation cost of reclosers are considered as objective functions; and the min-max criterion to select a point on the optimal Pareto front is used. In the second methodology, a master-slave based optimization algorithm is used to find the best network topology including the associated to automatic reclosers. Master algorithm is a TS algorithm which is responsible to direct the optimization process through solution space, whereby, for each neighbor generated, the slave algorithm NSGA II is applied and min-max criterion is used to determine a configuration of reclosers for actual network topology. The proposed methodologies are applied on three-phase version of IEEE 34 nodes test feeder, with high quality results.
author	Montoya G.,Oscar D. Grajales O.,Alejandro Hincapié I.,Ricardo A. Granada E.,Mauricio
author_facet	Montoya G.,Oscar D. Grajales O.,Alejandro Hincapié I.,Ricardo A. Granada E.,Mauricio
author_sort	Montoya G.,Oscar D.
title	A new approach to solve the distribution system planning problem considering automatic reclosers
title_short	A new approach to solve the distribution system planning problem considering automatic reclosers
title_full	A new approach to solve the distribution system planning problem considering automatic reclosers
title_fullStr	A new approach to solve the distribution system planning problem considering automatic reclosers
title_full_unstemmed	A new approach to solve the distribution system planning problem considering automatic reclosers
title_sort	new approach to solve the distribution system planning problem considering automatic reclosers
publisher	Universidad de Tarapacá.
publishDate	2017
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-33052017000300415
work_keys_str_mv	AT montoyagoscard anewapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT grajalesoalejandro anewapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT hincapieiricardoa anewapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT granadaemauricio anewapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT montoyagoscard newapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT grajalesoalejandro newapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT hincapieiricardoa newapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers AT granadaemauricio newapproachtosolvethedistributionsystemplanningproblemconsideringautomaticreclosers
_version_	1714203448124112896

A new approach to solve the distribution system planning problem considering automatic reclosers

Ejemplares similares