Statistical estimation of power system vulnerability

Author

Sanz, F.A. ; Ramirez, J.M. ; Correa, Rosa E.

Author_Institution

Dept. of Electr. Eng., CINVESTAV-GDL, Zapopan, Mexico

fYear

2013

fDate

22-24 Sept. 2013

Firstpage

1

Lastpage

6

Abstract

This proposal exploits the main aspects of design and analysis of experiments. The goal is to find an early vulnerability estimation, which allows that operators make decisions before a collapse occurs. The method is based on variables that can be measured on-line using PMU technologies, specifically bus voltages. Voltage Collapse Proximity Index (VCPI) is one of the most popular indices. Vulnerability indicator, defined by a relation between bus voltages and admittance values is calculated using historical and simulated data. A multi-variable statistical model is built, which is validated and tested to assess its robustness. The proposed method is tested on the IEEE 14-bus test system. Results show effective performance for power system vulnerability estimation.

Keywords

power system dynamic stability; power system protection; power system state estimation; statistical analysis; IEEE 14-bus test system; PMU technologies; VCPI; admittance values; bus voltages; early vulnerability estimation; multivariable statistical model; voltage collapse proximity index; vulnerability indicator; Analysis of variance; Data models; Indexes; Power system stability; Security; Stability criteria; Vulnerability; statistical estimation; statistical models; voltage collapse proximity index VCPI;

fLanguage

English

Publisher

ieee

Conference_Titel

North American Power Symposium (NAPS), 2013

Conference_Location

Manhattan, KS

Type

conf

DOI

10.1109/NAPS.2013.6666913

Filename

6666913