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

Research Group in Smart Electrical Networks (GIREI)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509046508
DOIs	https://doi.org/10.1109/UPEC.2016.8114003
State	Published - 2 Jul 2016
Event	51st International Universities Power Engineering Conference, UPEC 2016 - Coimbra, Portugal Duration: 6 Sep 2016 → 9 Sep 2016

Publication series

Name	Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 2016
Volume	2017-January

Conference

Conference	51st International Universities Power Engineering Conference, UPEC 2016
Country/Territory	Portugal
City	Coimbra
Period	6/09/16 → 9/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Clustering Techniques
Electrical Power Systems
K-Medoids
Optimization
PMU
Power Transmission Lines
Smart Grid

Access to Document

10.1109/UPEC.2016.8114003

Cite this

Carrión, D., Inga, E., Gonzalez, J. W., & Hincapié, R. (2016). Optimal geographical placement of phasor measurement units based on clustering techniques. In 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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doi = "10.1109/UPEC.2016.8114003",

language = "English",

series = "Proceedings - 2016 51st International Universities Power Engineering Conference, UPEC 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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Carrión, Diego

AU - Inga, Esteban

AU - Gonzalez, Jorge W.

AU - Hincapié, Roberto

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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.

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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. In 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

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Fault Diagnosis and Volt-Var Control Based on Phasor Behavior of Smart Grid Using PMU

Cite this

Optimal geographical placement of phasor measurement units based on clustering techniques

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

Other files and links

Projects

Fault Diagnosis and Volt-Var Control Based on Phasor Behavior of Smart Grid Using PMU

Cite this