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

Author

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

Author_Institution

Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK

fYear

2015

fDate

June 29 2015-July 2 2015

Firstpage

1

Lastpage

6

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

phasor measurement; power system dynamic stability; power system transient stability; current measurements; decision tree based algorithm; generator rotor angles; measurement signals; online identification; power system dynamic signature; voltage measurements; Accuracy; Current measurement; Generators; Phasor measurement units; Power system stability; Rotors; Voltage measurement; decision tree; phasor measurement units; power system dynamic signature; predictor importance; rotor angle measurement; transient stability;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech, 2015 IEEE Eindhoven

Conference_Location

Eindhoven

Type

conf

DOI

10.1109/PTC.2015.7232362

Filename

7232362