Optimal geographical placement of phasor measurement units based on clustering techniques

Diego Carrión; Esteban Inga; Jorge W. Gonzalez; Roberto Hincapié

doi:10.1109/UPEC.2016.8114003

Optimal geographical placement of phasor measurement units based on clustering techniques

Diego Carrión
, Esteban Inga
, Jorge W. Gonzalez
, Roberto Hincapié

Grupo de Investigación en Redes Eléctricas Inteligentes (GIREI)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

In this paper, we propose an optimal deployment of phasor measurement units (PMUs), devices that allow the measurements of voltage and current parameters in electrical power systems (EPS). We assume a geo-referenced scenery and candidate places for the location of PMU's on each system node. We consider an optimization model to minimize the number of PMU's in the electrical system under a percentage of system observability. We use pseudo-optimal clustering techniques that allow us to contrast with the optimization model where the lowest number of PMUs are activated with the best system observability; therefore, through this research it is proposed an homogeneous group of EPS nodes, considering the minimum and maximum quantity of nodes that belong to the cluster-centroid; furthermore, we consider take the feasible and candidates system nodes, and the maximum link distance is proposed like a restriction, for the PMU placement on each system node, and it is determines which the observability percentage.

Idioma original	Inglés
Título de la publicación alojada	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	1-6
Número de páginas	6
ISBN (versión digital)	9781509046508
DOI	https://doi.org/10.1109/UPEC.2016.8114003
Estado	Publicada - 2 jul. 2016
Evento	51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal Duración: 6 sep. 2016 → 9 sep. 2016

Serie de la publicación

Nombre	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Volumen	2017-January

Conferencia

Conferencia	51st International Universities Power Engineering Conference, UPEC 2016
País/Territorio	Portugal
Ciudad	Coimbra
Período	6/09/16 → 9/09/16

Nota bibliográfica

Publisher Copyright:
© 2016 IEEE.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Acceder al documento

10.1109/UPEC.2016.8114003

Otros archivos y enlaces

Enlace a la publicación en Scopus

Diagnóstico de Fallas y Control Volt-Var Basado en Comportamiento Fasorial de Smart Grid Usando PMU
Carrion Galarza, D. F. (Investigador principal), Aguila Tellez, A. (Investigador Secundario), Perez Pineda, R. E. (Investigador Secundario), Quishpe Ushiña, F. G. (Estudiante Investigador), Jaramillo Perugachi, C. A. (Estudiante Investigador), Benavides Larreina, F. P. (Estudiante Investigador), Pillajo Quijia, J. O. (Estudiante Investigador), Gomez Alban, S. V. (Estudiante Investigador), Caisapanta Tapia, W. H. (Estudiante Investigador), Salazar Alava, E. J. (Estudiante Investigador), Yaguana Gutierrez, G. A. (Estudiante Investigador), Pabon Plaza, F. A. (Estudiante Investigador), Ramos Contero, O. O. (Estudiante Investigador), Pareja Espinoza, J. Y. (Estudiante Investigador), Camacho Vera, R. M. (Estudiante Investigador), Criollo Caisaguano, D. A. (Estudiante Investigador), Jacome Avila, D. A. (Estudiante Investigador), Trujillo Armijos, J. A. (Estudiante Investigador), Villa Endara, V. A. (Estudiante Investigador) & Castillo Muñoz, F. A. (Estudiante Investigador)
1/01/16 → 31/12/16
Proyecto: Investigación y Desarrollo

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Carrión, D., Inga, E., Gonzalez, J. W., & Hincapié, R. (2016). Optimal geographical placement of phasor measurement units based on clustering techniques. En Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016 (pp. 1-6). (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UPEC.2016.8114003

Carrión, Diego ; Inga, Esteban ; Gonzalez, Jorge W. et al. / Optimal geographical placement of phasor measurement units based on clustering techniques. Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1-6 (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016).

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title = "Optimal geographical placement of phasor measurement units based on clustering techniques",

abstract = "In this paper, we propose an optimal deployment of phasor measurement units (PMUs), devices that allow the measurements of voltage and current parameters in electrical power systems (EPS). We assume a geo-referenced scenery and candidate places for the location of PMU's on each system node. We consider an optimization model to minimize the number of PMU's in the electrical system under a percentage of system observability. We use pseudo-optimal clustering techniques that allow us to contrast with the optimization model where the lowest number of PMUs are activated with the best system observability; therefore, through this research it is proposed an homogeneous group of EPS nodes, considering the minimum and maximum quantity of nodes that belong to the cluster-centroid; furthermore, we consider take the feasible and candidates system nodes, and the maximum link distance is proposed like a restriction, for the PMU placement on each system node, and it is determines which the observability percentage.",

keywords = "Clustering Techniques, Electrical Power Systems, K-Medoids, Optimization, PMU, Power Transmission Lines, Smart Grid",

author = "Diego Carri{\'o}n and Esteban Inga and Gonzalez, \{Jorge W.\} and Roberto Hincapi{\'e}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 51st International Universities Power Engineering Conference, UPEC 2016 ; Conference date: 06-09-2016 Through 09-09-2016",

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Carrión, D , Inga, E, Gonzalez, JW & Hincapié, R 2016, Optimal geographical placement of phasor measurement units based on clustering techniques. En Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 51st International Universities Power Engineering Conference, UPEC 2016, Coimbra, Portugal, 6/09/16. https://doi.org/10.1109/UPEC.2016.8114003

Optimal geographical placement of phasor measurement units based on clustering techniques. / Carrión, Diego ; Inga, Esteban; Gonzalez, Jorge W. et al.
Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1-6 (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016; Vol. 2017-January).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Optimal geographical placement of phasor measurement units based on clustering techniques

AU - Carrión, Diego

AU - Inga, Esteban

AU - Gonzalez, Jorge W.

AU - Hincapié, Roberto

PY - 2016/7/2

Y1 - 2016/7/2

N2 - In this paper, we propose an optimal deployment of phasor measurement units (PMUs), devices that allow the measurements of voltage and current parameters in electrical power systems (EPS). We assume a geo-referenced scenery and candidate places for the location of PMU's on each system node. We consider an optimization model to minimize the number of PMU's in the electrical system under a percentage of system observability. We use pseudo-optimal clustering techniques that allow us to contrast with the optimization model where the lowest number of PMUs are activated with the best system observability; therefore, through this research it is proposed an homogeneous group of EPS nodes, considering the minimum and maximum quantity of nodes that belong to the cluster-centroid; furthermore, we consider take the feasible and candidates system nodes, and the maximum link distance is proposed like a restriction, for the PMU placement on each system node, and it is determines which the observability percentage.

AB - In this paper, we propose an optimal deployment of phasor measurement units (PMUs), devices that allow the measurements of voltage and current parameters in electrical power systems (EPS). We assume a geo-referenced scenery and candidate places for the location of PMU's on each system node. We consider an optimization model to minimize the number of PMU's in the electrical system under a percentage of system observability. We use pseudo-optimal clustering techniques that allow us to contrast with the optimization model where the lowest number of PMUs are activated with the best system observability; therefore, through this research it is proposed an homogeneous group of EPS nodes, considering the minimum and maximum quantity of nodes that belong to the cluster-centroid; furthermore, we consider take the feasible and candidates system nodes, and the maximum link distance is proposed like a restriction, for the PMU placement on each system node, and it is determines which the observability percentage.

KW - Clustering Techniques

KW - Electrical Power Systems

KW - K-Medoids

KW - Optimization

KW - PMU

KW - Power Transmission Lines

KW - Smart Grid

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ER -

Carrión D , Inga E, Gonzalez JW, Hincapié R. Optimal geographical placement of phasor measurement units based on clustering techniques. En Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1-6. (Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016). doi: 10.1109/UPEC.2016.8114003

Optimal geographical placement of phasor measurement units based on clustering techniques

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Diagnóstico de Fallas y Control Volt-Var Basado en Comportamiento Fasorial de Smart Grid Usando PMU

Citar esto