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

Istanbul Technical University
ISBAK Istanbul IT and Smart City Technologies Inc.

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

7 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings
Editörler	Aydin Cetin
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	184-188
Sayfa sayısı	5
ISBN (Elektronik)	9781728113159
DOI'lar	https://doi.org/10.1109/SGCF.2019.8782314
Yayın durumu	Yayınlandı - Nis 2019
Etkinlik	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Istanbul, Türkiye Süre: 25 Nis 2019 → 26 Nis 2019

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	25/04/19 → 26/04/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Finansman

ACKNOWLEDGMENT This work is supported by The Scientific and Technical Research Council of Turkey (TUBITAK) project no. 118E184.

Finansörler	Finansör numarası
TUBITAK	118E184
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Belgeye Erişim

10.1109/SGCF.2019.8782314

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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. editör / 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).

@inproceedings{4ddac39e6ce54bee88ca8dff6d204248,

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, PMU placement, feature selection, machine learning, 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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "184--188",

editor = "Aydin Cetin",

booktitle = "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, Türkiye, 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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - An Optimal PMU Placement Scheme for Early Prediction of Transient Instabilities in Power Systems

AU - Kesici, Mert

AU - Saner, Can Berk

AU - Mahdi, Mohammed

AU - Yaslan, Yusuf

AU - Genc, V. M.Istemihan

PY - 2019/4

Y1 - 2019/4

N2 - 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.

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.

KW - Early prediction

KW - PMU placement

KW - feature selection

KW - machine learning

KW - transient stability

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M3 - Conference contribution

AN - SCOPUS:85071029317

T3 - 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019 - Proceedings

SP - 184

EP - 188

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

A2 - Cetin, Aydin

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Istanbul Smart Grids and Cities Congress and Fair, ICSG 2019

Y2 - 25 April 2019 through 26 April 2019

ER -

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, editör, 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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