Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión

G, Oscar D Montoya; Isaza, Ricardo Alberto Hincapié; Echeverri, Mauricio Granada

doi:10.4067/s0718-33052016000100006

Cited by 6 publications

(11 citation statements)

References 15 publications

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“…The first model is a mono-objective representation of the DSPP [11]. The second model is a multi-objective representation of the POLARDS [8].…”

Section: General Problem Formulationmentioning

confidence: 99%

“…In the set of constraints, equation (13) corresponds to the power balance at each node in the system, equations (14) and (15) correspond to the compliance of the chargeability limits of lines and voltage regulation at all nodes of the system, respectively. Constraints of number of reclosers or maximum investment limit are not considered, because being a multi-objective problem, the solution that meets the most of the requirements of the network operator is chosen from the Pareto front [8].…”

Section: Formulation Of Polardsmentioning

confidence: 99%

“…This technique is attractive because it has two fundamental characteristics: population diversity is ensured during the process solution through the inclusion of genetic operators of selection, recombination and mutation, and it is an elitist algorithm, which means that only the best solutions found in different Pareto fronts are considered during the process, through the implementation of the dominance criteria [8,[18][19][20].…”

Section: Solution Technique For Polardsmentioning

confidence: 99%

“…Once the best topology is obtained, a NSGA II is used to find the Pareto front that minimizes the non-supplied energy of the system and the investment costs [8]. The developed model is applied to distribution systems with three-phase representation.…”

Section: Introductionmentioning

confidence: 99%

“…The first objective function uses the optimal location of normally closed reclosers (NCR) for fault isolation and normally opened reclosers (NOR) for load transference. To solve this problem, a NSGA II algorithm is used [8].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

Ingeniare. Rev. chil. ing.

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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.Keywords: Distribution systems, min-max criterion, multi-objective optimization, NSGA-II Algorithm, reclosers, reliability. RESUMEN

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“…The first model is a mono-objective representation of the DSPP [11]. The second model is a multi-objective representation of the POLARDS [8].…”

Section: General Problem Formulationmentioning

confidence: 99%

Section: Formulation Of Polardsmentioning

confidence: 99%

Section: Solution Technique For Polardsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

Ingeniare. Rev. chil. ing.

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Optimal Planning and Operation of Distribution Systems Considering Distributed Energy Resources and Automatic Reclosers

Grisales¹,

Montoya

Grajales

et al. 2018

IEEE Latin Am. Trans.

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Estimación de parámetros entransformadores monofásicos empleandomedidas de tensión y corriente

Bocanegra¹,

Montoya²,

Molina-Cabrera³

2020

revuin

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En este artículo se presenta una metodología para la estimación de parámetros en transformadores de distribuciónconsiderando medidas de tensión y corriente mediante un modelo matemático de programación no lineal (PNL).Este modelo de programación es desarrollado a través de la aplicación de las leyes de Kirchhoff al modelo del circuitoequivalente del transformador. Para resolver el modelo de PNL resultante se emplea el sistema de modelado algebraicogeneral conocido como GAMS. La metodología de optimización propuesta se desarrolla a manera de tutorial conun ejemplo de implementación el cual corresponde a un transformador monofásico de 20 kVA y una relación detransformación de 8000/240 V. Los resultados numéricos muestran que la estimación paramétrica en transformadoresmediante el modelo de PNL propuesto representa adecuadamente el comportamiento eléctrico de estos dispositivosen relación consu funcionamiento para diferentes escenarios de carga a los que se encuentren sometidos. Todas lassimulaciones fueron realizadas con la versión 25.1.3 de GAMS licenciado por la Universidad Tecnológica de Bolívar

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Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión

Cited by 6 publications

References 15 publications

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

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

Optimal Planning and Operation of Distribution Systems Considering Distributed Energy Resources and Automatic Reclosers

Estimación de parámetros entransformadores monofásicos empleandomedidas de tensión y corriente

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