Systematic error identification and analysis for PMU dynamic performances

Author

Yulan Hu ; Yi Wang ; Ranran An ; Tianshu Bi ; Qian Feng ; Fan Wang

Author_Institution

Electr. Power Res. Inst. of Guangdong Power Grid Corp., Guangzhou, China

fYear

2013

fDate

16-20 June 2013

Firstpage

1

Lastpage

5

Abstract

Phasor Measurement Unit (PMU) performances are the basis for successful implementation of PMUs in power system security monitoring and control, and they are greatly affected by systematic errors caused by phasor estimation algorithm. In this paper, the Normal-Fitting Index (NFI) is proposed to identify PMU systematic errors in probability and statistics way. It reflects influences of systematic errors on PMU measurements. Besides, Weighted Least Square (WLS) curve-fitting method is applied here to identify systematic errors due to Discrete Fourier Transform (DFT) via analyzing the features of phasor estimations under dynamic conditions. Several PMUs are tested in laboratory and the results are used for analysis by the two methods above, which reveal that problems exist in PMU dynamic performances.

Keywords

curve fitting; phasor measurement; power system security; probability; PMU dynamic performances; PMU systematic errors; discrete Fourier transform; dynamic conditions; normal-fitting index; phasor estimation algorithm; phasor estimations; phasor measurement unit performances; power system control; power system security monitoring; systematic error identification; weighted least square curve-fitting method; Discrete Fourier transforms; Frequency modulation; Heuristic algorithms; Phasor measurement units; Power system dynamics; Standards; Systematics; DFT; Phasor Measurement Unit; error identification; power system; systematic error;

fLanguage

English

Publisher

ieee

Conference_Titel

PowerTech (POWERTECH), 2013 IEEE Grenoble

Conference_Location

Grenoble

Type

conf

DOI

10.1109/PTC.2013.6652515

Filename

6652515