Impact of measurement signals on the accuracy of online identification of power system dynamic signature

Panagiotis N. Papadopoulos; Tingyan Guo; Xiangyu Wang; Jovica V. Milanovic

doi:10.1109/PTC.2015.7232362

Impact of measurement signals on the accuracy of online identification of power system dynamic signature

Panagiotis N. Papadopoulos, Tingyan Guo, Xiangyu Wang, Jovica V. Milanovic

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 Citations (Scopus)

Abstract

In order to identify the dynamic signature of power systems, it is important to monitor the generator rotor angles. The rotor angles can be obtained either by direct measurements of the rotor position or by indirect calculation of rotor angle from voltage and current measurements. Considering limited availability of direct measurements of rotor angles the indirect method is used in this paper taking into account the errors in calculated rotor angles. Decision tree based algorithm is used afterwards for online identification of power system dynamic signatures. Finally, the impact of the accuracy of measurement signals on the accuracy of the assessment of system dynamic signature is discussed.

Original language	English
Title of host publication	2015 IEEE Eindhoven PowerTech, PowerTech 2015
Place of Publication	Piscataway, NJ.
ISBN (Electronic)	9781479976935
DOIs	https://doi.org/10.1109/PTC.2015.7232362
Publication status	Published - 31 Aug 2015
Event	IEEE Eindhoven PowerTech, PowerTech 2015 - Eindhoven, Netherlands Duration: 29 Jun 2015 → 2 Jul 2015

Conference

Conference	IEEE Eindhoven PowerTech, PowerTech 2015
Country/Territory	Netherlands
City	Eindhoven
Period	29/06/15 → 2/07/15

Keywords

decision tree
phasor measurement units
power system dynamic signature
predictor importance
rotor angle measurement
transient stability

Access to Document

10.1109/PTC.2015.7232362

Cite this

@inproceedings{79284fb681884852a09284aa532dcc14,

title = "Impact of measurement signals on the accuracy of online identification of power system dynamic signature",

abstract = "In order to identify the dynamic signature of power systems, it is important to monitor the generator rotor angles. The rotor angles can be obtained either by direct measurements of the rotor position or by indirect calculation of rotor angle from voltage and current measurements. Considering limited availability of direct measurements of rotor angles the indirect method is used in this paper taking into account the errors in calculated rotor angles. Decision tree based algorithm is used afterwards for online identification of power system dynamic signatures. Finally, the impact of the accuracy of measurement signals on the accuracy of the assessment of system dynamic signature is discussed.",

keywords = "decision tree, phasor measurement units, power system dynamic signature, predictor importance, rotor angle measurement, transient stability",

author = "Papadopoulos, {Panagiotis N.} and Tingyan Guo and Xiangyu Wang and Milanovic, {Jovica V.}",

year = "2015",

month = aug,

day = "31",

doi = "10.1109/PTC.2015.7232362",

language = "English",

booktitle = "2015 IEEE Eindhoven PowerTech, PowerTech 2015",

note = "IEEE Eindhoven PowerTech, PowerTech 2015 ; Conference date: 29-06-2015 Through 02-07-2015",

}

TY - GEN

T1 - Impact of measurement signals on the accuracy of online identification of power system dynamic signature

AU - Papadopoulos, Panagiotis N.

AU - Guo, Tingyan

AU - Wang, Xiangyu

AU - Milanovic, Jovica V.

PY - 2015/8/31

Y1 - 2015/8/31

N2 - In order to identify the dynamic signature of power systems, it is important to monitor the generator rotor angles. The rotor angles can be obtained either by direct measurements of the rotor position or by indirect calculation of rotor angle from voltage and current measurements. Considering limited availability of direct measurements of rotor angles the indirect method is used in this paper taking into account the errors in calculated rotor angles. Decision tree based algorithm is used afterwards for online identification of power system dynamic signatures. Finally, the impact of the accuracy of measurement signals on the accuracy of the assessment of system dynamic signature is discussed.

AB - In order to identify the dynamic signature of power systems, it is important to monitor the generator rotor angles. The rotor angles can be obtained either by direct measurements of the rotor position or by indirect calculation of rotor angle from voltage and current measurements. Considering limited availability of direct measurements of rotor angles the indirect method is used in this paper taking into account the errors in calculated rotor angles. Decision tree based algorithm is used afterwards for online identification of power system dynamic signatures. Finally, the impact of the accuracy of measurement signals on the accuracy of the assessment of system dynamic signature is discussed.

KW - decision tree

KW - phasor measurement units

KW - power system dynamic signature

KW - predictor importance

KW - rotor angle measurement

KW - transient stability

UR - http://www.scopus.com/inward/record.url?scp=84951320112&partnerID=8YFLogxK

U2 - 10.1109/PTC.2015.7232362

DO - 10.1109/PTC.2015.7232362

M3 - Conference contribution book

AN - SCOPUS:84951320112

BT - 2015 IEEE Eindhoven PowerTech, PowerTech 2015

CY - Piscataway, NJ.

T2 - IEEE Eindhoven PowerTech, PowerTech 2015

Y2 - 29 June 2015 through 2 July 2015

ER -

Impact of measurement signals on the accuracy of online identification of power system dynamic signature

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this