The Small-disturbance Voltage Stability Analysis through Adaptive AR Model Based on PMU

Author

Xu, Chao ; Liang, Jun ; Yun, Zhihao ; Zhang, Li

Author_Institution

Sch. of Electr. Eng., Shandong Univ., Jinan

fYear

2005

fDate

2005

Firstpage

1

Lastpage

5

Abstract

In this paper a new method is proposed for predicting the small-disturbance voltage stability in real-time with adaptive time series and PMU. Using adaptive AR model to predict bus voltage is different from the traditional method, which depend on the power system model. The AR model is independent of the history data, whose parameters are built and updated by the synchronized data coming from PMU, results in much quick and much accurate outcome. The paper estimates the stability of predicted bus voltage by the local voltage stability assessment. To test this method, the simulation is performed on the standard IEEE 3-machine 9-bus system in MATLAB/SIMULINK. The results show the effectiveness of this method. The study reveals that this method can predict the voltage phasor under small disturbance rapidly, and save time for the voltage stability control

Keywords

autoregressive processes; power system faults; power system measurement; power system stability; prediction theory; time series; IEEE 3-machine 9-bus system; MATLAB-SIMULINK; PMU; adaptive AR model; adaptive time series; phasor measurement unit; small-disturbance voltage stability; History; Mathematical model; Phasor measurement units; Power system analysis computing; Power system modeling; Power system stability; Predictive models; Stability analysis; System testing; Voltage; Adaptive AR model; Phasor Measuring Unit; Small-disturbance Voltage Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES

Conference_Location

Dalian

Print_ISBN

0-7803-9114-4

Type

conf

DOI

10.1109/TDC.2005.1547097

Filename

1547097