A study of transient-based protection using wavelet energy entropy for power system EHV transmission line

2010 ◽  
Author(s):  
Ming-Yu Yang ◽  
Yu-Kun Yang
Keyword(s):  
Power System ◽  
Transmission Line ◽  
Wavelet Energy ◽  
Energy Entropy ◽  
Wavelet Energy Entropy ◽  
Transient Based Protection

A New Method to Detect Voltage Sag Based on Wavelet Energy Entropy

2013 ◽  
Vol 448-453 ◽  
pp. 2254-2258 ◽  
Author(s):  
Chang Gang Wang ◽  
Lin Chuan Wang ◽  
Jia Liu ◽  
Bin Liu
Keyword(s):  
Power System ◽  
New Method ◽  
Voltage Sag ◽  
Voltage Sags ◽  
Peak Voltage ◽  
Wavelet Energy ◽  
Energy Entropy ◽  
Drop Time ◽  
Power System Faults ◽  
Wavelet Energy Entropy

Voltage sags was a common power system disturbance, usually associated with power system faults. Nowadays, there were more and more methods to detect voltage sag, involving with RMS, peak voltage detect, FFT. Owing to their defections, they were too slow when they came to being applied to detect voltages sags. This paper presents a method based on wavelet energy entropy detection voltage sags, this method can detect the drop time quickly and sensitively. In order to verify the feasibility of the proposed method, a numerical example simulation has been done based on matlab / simulink , results show that there is a significant effect.

Study on Sensor Signal Filtering Based on Wavelet Energy Entropy

2011 ◽  
Vol 63-64 ◽  
pp. 573-578
Author(s):  
Jian Guo Yan ◽  
Dong Li Yuan ◽  
Si Yuan Li ◽  
Xiao Jun Xing
Keyword(s):  
Maximum Entropy Principle ◽  
Noise Signal ◽  
Sensor Data ◽  
Sensor Signal ◽  
Signal Filtering ◽  
Wavelet Energy ◽  
Energy Entropy ◽  
Level Sensor ◽  
Wavelet Energy Entropy ◽  
Fuel Level

In order to increase the fuel level measurement accuracy in aircraft fuel system, the method of sensor signal filtering based on the wavelet energy entropy was put forward. Using the maximum entropy principle the wavelet energy entropy of high-frequency coefficient vector in each level was calculated while the output signal of sensor was analyzed in wavelet multi-resolution mode. Once the sum of wavelet energy entropy for filtered signal and noise signal is maximum, the filtering effect is much better. At the same time, the result of tests which use simulation signal and fuel level sensor data collected from fuel tank oscillation test are all satisfied, it is show that this method is available.

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