DocumentCode
680503
Title
Detection of unstable low frequency oscillations based on PMU measurements
Author
Alinejad, B. ; Kazemi Karegar, H.
Author_Institution
Fac. of Electr. & Comput. Eng., Shahid Beheshti Univ., Tehran, Iran
fYear
2013
fDate
17-18 Dec. 2013
Firstpage
13
Lastpage
19
Abstract
A new algorithm based on wide area measurements and Discrete Wavelet Transform (DFT) to detect the unstable low frequency power swing oscillations of synchronous generators in a power system is proposed. The PMU modules calculate and transmit the synchronized phasor values of generator voltages, currents and speed to Phasor Data Concentrators (PDC) where data are collected and analyzed. Generators rotor angle change is estimated in PDC center by means of generator speed. For each generator, the Lyapunov´s relative energy function, which is the sum of its relative potential and kinetic energy, is calculated. After that, the generator instability is determined from computing and comparing the energy stored in some decomposed levels. The method is simulated on a network containing of two generators with some simulated stable and unstable low frequency oscillations.
Keywords
discrete wavelet transforms; power system measurement; rotors; synchronous generators; DFT; Lyapunov relative energy function; PMU measurements; PMU modules; discrete wavelet transform; generator instability; generator voltages; generators rotor angle; kinetic energy; phasor data concentrators; power system; synchronized phasor values; synchronous generators; unstable low frequency oscillations detection; unstable low frequency power swing oscillations; wide area measurements; Discrete wavelet transforms; Generators; Impedance; Power system stability; Relays; Rotors; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Smart Grid Conference (SGC), 2013
Conference_Location
Tehran
Print_ISBN
978-1-4799-3039-5
Type
conf
DOI
10.1109/SGC.2013.6733788
Filename
6733788
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