Title :
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
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;
Conference_Titel :
Power and Energy Society General Meeting, 2011 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4577-1000-1
Electronic_ISBN :
1944-9925
DOI :
10.1109/PES.2011.6039882
