An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems

Mert Kesici; Can Berk Saner; Mohammed Mahdi; Yusuf Yaslan; V. M.Istemihan Genc

doi:10.1109/SGCF.2019.8782314

An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems

Mert Kesici, Can Berk Saner, Mohammed Mahdi, Yusuf Yaslan, V. M.Istemihan Genc

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

6 Citations (Scopus)

Abstract

Recently, technological developments in PMUs have led to a widespread deployment of PMUs in electrical power systems to carry out many online applications, thanks to their high reporting rates and synchronized measurements. Since it may not be feasible to deploy a PMU on every bus in the system, a selected number of buses can be chosen for the deployment of PMUs to achieve a certain task. In this paper, a new PMU placement method based on feature selection algorithms for obtaining a high accuracy in early predicting of transient instabilities is proposed. The optimal PMU locations are selected according to two different feature selection methods, which are filtering based and feature importance based algorithms. The feature selection methods are implemented with the use of a classifier based on LightGBM. The proposed method is demonstrated on the 127-bus Western Systems Coordinating Council test system.

Original language	English
Title of host publication	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings
Editors	Aydin Cetin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	184-188
Number of pages	5
ISBN (Electronic)	9781728113159
DOIs	https://doi.org/10.1109/SGCF.2019.8782314
Publication status	Published - Apr 2019
Event	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Istanbul, Turkey Duration: 25 Apr 2019 → 26 Apr 2019

Publication series

Name	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings

Conference

Conference	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019
Country/Territory	Turkey
City	Istanbul
Period	25/04/19 → 26/04/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

Early prediction
feature selection
machine learning
PMU placement
transient stability

Access to Document

10.1109/SGCF.2019.8782314

Cite this

Kesici, M., Saner, C. B., Mahdi, M., Yaslan, Y., & Genc, V. M. I. (2019). An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems. In A. Cetin (Ed.), 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings (pp. 184-188). Article 8782314 (7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGCF.2019.8782314

Kesici, Mert ; Saner, Can Berk ; Mahdi, Mohammed et al. / An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems. 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings. editor / Aydin Cetin. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 184-188 (7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings).

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title = "An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems",

abstract = "Recently, technological developments in PMUs have led to a widespread deployment of PMUs in electrical power systems to carry out many online applications, thanks to their high reporting rates and synchronized measurements. Since it may not be feasible to deploy a PMU on every bus in the system, a selected number of buses can be chosen for the deployment of PMUs to achieve a certain task. In this paper, a new PMU placement method based on feature selection algorithms for obtaining a high accuracy in early predicting of transient instabilities is proposed. The optimal PMU locations are selected according to two different feature selection methods, which are filtering based and feature importance based algorithms. The feature selection methods are implemented with the use of a classifier based on LightGBM. The proposed method is demonstrated on the 127-bus Western Systems Coordinating Council test system.",

keywords = "Early prediction, feature selection, machine learning, PMU placement, transient stability",

author = "Mert Kesici and Saner, {Can Berk} and Mohammed Mahdi and Yusuf Yaslan and Genc, {V. M.Istemihan}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 ; Conference date: 25-04-2019 Through 26-04-2019",

year = "2019",

month = apr,

doi = "10.1109/SGCF.2019.8782314",

language = "English",

series = "7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings",

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Kesici, M, Saner, CB, Mahdi, M, Yaslan, Y & Genc, VMI 2019, An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems. in A Cetin (ed.), 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings., 8782314, 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 184-188, 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019, Istanbul, Turkey, 25/04/19. https://doi.org/10.1109/SGCF.2019.8782314

An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems. / Kesici, Mert; Saner, Can Berk; Mahdi, Mohammed et al.
7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings. ed. / Aydin Cetin. Institute of Electrical and Electronics Engineers Inc., 2019. p. 184-188 8782314 (7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings).

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

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AU - Genc, V. M.Istemihan

PY - 2019/4

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AB - Recently, technological developments in PMUs have led to a widespread deployment of PMUs in electrical power systems to carry out many online applications, thanks to their high reporting rates and synchronized measurements. Since it may not be feasible to deploy a PMU on every bus in the system, a selected number of buses can be chosen for the deployment of PMUs to achieve a certain task. In this paper, a new PMU placement method based on feature selection algorithms for obtaining a high accuracy in early predicting of transient instabilities is proposed. The optimal PMU locations are selected according to two different feature selection methods, which are filtering based and feature importance based algorithms. The feature selection methods are implemented with the use of a classifier based on LightGBM. The proposed method is demonstrated on the 127-bus Western Systems Coordinating Council test system.

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Kesici M, Saner CB, Mahdi M, Yaslan Y , Genc VMI. An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems. In Cetin A, editor, 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 184-188. 8782314. (7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings). doi: 10.1109/SGCF.2019.8782314

An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems

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Keywords

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