Title :
Subsynchronous oscillation detection based on sample entropy
Author :
Zhenshan Zhu ; Dichen Liu ; Qingfen Liao ; XiangYu Han
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Abstract :
A new method based on sample entropy algorithm that can perform real-time detection of sub-synchronous oscillation is proposed. The rotor torque signal is chose to be analyzed. The sample entropy of rotor torque during continuous period is calculated. Sub-synchronous oscillation detection is achieved by analyzing the variation of sample entropy. The method needs less data and has good anti-interference ability. The effectiveness of the proposed method is proven by the result of the IEEE first benchmark system model simulation.
Keywords :
IEEE standards; rotors; subsynchronous resonance; torque; IEEE first benchmark system model simulation; antiinterference ability; rotor torque signal; sample entropy algorithm; subsynchronous oscillation detection; Complexity theory; Entropy; Noise; Oscillators; Power systems; Rotors; Torque; Detection; sample entropy; sub-synchronous oscillation; torque;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
DOI :
10.1109/APPEEC.2014.7066187