On-line voltage stability load index estimation based on PMU measurements

Author

Makasa, K. Joseph ; Venayagamoorthy, Ganesh K.

Author_Institution

Real-Time & Intell. Syst. Lab., Missouri Univ. of Sci. & Technol., Rolla, MO, USA

fYear

2011

Firstpage

1

Lastpage

6

Abstract

A new method for estimation of Voltage Stability Load Index (VSLI) for a power system using data from optimally located phasor measurement units (PMU) is presented in this paper. Optimal PMU placement was carried out considering islanding operating conditions. VSLI is estimated using a kind of recurrent neural network know as the Echo State Network (ESN). The development ESN is computational efficient and provides accurate estimation. Results of optimal PMU placement for normal and islanded operating conditions, and ESN estimation of VSLI on the IEEE 14 bus system is presented.

Keywords

echo; phase measurement; power engineering computing; power system stability; recurrent neural nets; IEEE 14 bus system; PMU measurements; VSLI; echo state network; islanding operating conditions; optimal PMU placement; phasor measurement units; power system; recurrent neural network; voltage stability load index estimation; Estimation; Indexes; Phasor measurement units; Power system stability; Stability criteria; Voltage measurement; Echo state networks; PMUs; power system islanding; voltage stability; voltage stability load index;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting, 2011 IEEE

Conference_Location

San Diego, CA

ISSN

1944-9925

Print_ISBN

978-1-4577-1000-1

Electronic_ISBN

1944-9925

Type

conf

DOI

10.1109/PES.2011.6039882

Filename

6039882