A new method to improve fault location accuracy in transmission line based on fuzzy inference data fusion technology

2016 ◽  
Author(s):  
Run-Dong Wu ◽  
Zai-Bin Jiao ◽  
Tuan Liu ◽  
Xiang-Ming Dong ◽  
Xiang Lei
Keyword(s):  
Data Fusion ◽  
Transmission Line ◽  
Fault Location ◽  
Fuzzy Inference ◽  
New Method ◽  
Fusion Technology ◽  
Location Accuracy

Research of Dynamic Weighing System Based on Multi-Sensor Data Fusion Technology

2013 ◽  
Vol 721 ◽  
pp. 479-482 ◽  
Author(s):  
Yan Xia Wang ◽  
Chun Hui Bao ◽  
Chun Ling Fan
Keyword(s):  
Data Fusion ◽  
Electromagnetic Interference ◽  
New Method ◽  
Sensor Data ◽  
Fusion Technology ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion ◽  
Load Cells ◽  
Noise Vibration ◽  
Dynamic Weighing

The multi-sensor data fusion techniques is discussed in dynamic weighing system based on the data measured from ultrasonic sensors, speed sensors, capacitive sensors and load cells. This new method can greatly increase the measure precision of the dynamic weighing systems, at the same time it can effectively reduce noise, vibration, electromagnetic interference and other environmental factors on the influence of dynamic weighing system measurement. Judging from the simulation result, this new method proves to be more accurate and stable than ordinary processing methods.

Fault Location Scheme for Transmission Lines Using Kaiser Self-Convolution Windowed FFT Phase Comparison

2014 ◽  
Vol 596 ◽  
pp. 659-663
Author(s):  
Guo Chen Fan ◽  
Yong Li Zhu ◽  
Hong Wei Yan ◽  
Yan Feng Gao
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Fault Location ◽  
Power Transmission ◽  
Phase Spectrum ◽  
Power Transmission Line ◽  
Excellent Performance ◽  
Location Accuracy ◽  
Spectral Leakage ◽  
Convolution Window

In order to improve the fault location accuracy, and eliminate the influence of spectral leakage in power transmission line fault location, we proposed a novel fault location scheme for transmission lines based on multi-measurements and phase comparison with Kaiser self-convolution windows FFT, which can locate the fault between two adjacent towers in the fault-prone segment. It is based Kaiser self-convolution window's excellent performance of leakage suppression, which can effectively solve the phase current fault component is relatively large errors due to spectral leakage problem. Firstly, this paper analyzes the causes of the phase spectrum leakage, then elaborates the sidelobe characteristics of Kaiser self-convolution window, and lists phase comparative fault location using steps, finally, verifies the correctness of the proposed method by simulation. The results show that the proposed method can effectively suppress spectral leakage, has a high location accuracy, a wide applicability and its solving of phase difference is precise.

scholarly journals INVESTIGATION OF IMPEDANCE-DIFFERENTIAL PROTECTION’S ALGORITHM AS A FAULT LOCATOR FOR DOUBLE-CIRCUIT TRANSMISSION LINE

2020 ◽  
Vol 2020 (6) ◽  
pp. 57-60
Author(s):  
J. Herlender ◽  
◽  
J. Izykowski ◽  
B. Brusilowicz ◽  
◽  
...  
Keyword(s):  
Transmission Line ◽  
Fault Location ◽  
Differential Protection ◽  
Location Accuracy ◽  
Negative Sequence ◽  
Additional Relation ◽  
Zero Sequence ◽  
Impedance Parameters

This paper deals with an analysis of impedance-differential protection algorithm applied to locate faults on a double-circuit transmission line. In particular, the study of fault location accuracy for the case of using the relation between currents for negative-sequence not for zero-sequence, as it was presented so far, is provided. It results from the well-known fact that zero-sequence impedances are in practice considered as quite unreliable data. Therefore, one has to limit usage of zero-sequence impedance parameters as much as possible. Such approach was applied in this paper and therefore the use of the additional relation of currents for negative-sequence is under investigation. The fault signals from ATP-EMTP simulation on the sample double-circuit transmission line was applied for evaluating the fault location accuracy. References 8, figures 4, table 1.

scholarly journals Adaptive neuro-fuzzy inference system based evolving fault locator for double circuit transmission lines

2020 ◽  
Vol 9 (3) ◽  
pp. 448 ◽  
Author(s):  
A Naresh Kumar ◽  
P Sridhar ◽  
T Anil Kumar ◽  
T Ravi Babu ◽  
V Chandra Jagan Mohan
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Fuzzy Inference System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Cost Effective ◽  
Inference System ◽  
Protection Method ◽  
Neuro Fuzzy ◽  
Simulation Results

<p>Evolving faults are starting in one phase of circuit and spreading to other phases after some time. There has not been a suitable method for locating evolving faults in double circuit transmission line until now. In this paper, a novel method for locating different types of evolving faults occurring in double circuit transmission line is proposed by considering adaptive neuro-fuzzy inference system. The fundamental current and voltage magnitudes are specified as inputs to the proposed method. The simulation results using MATLAB verify the effectiveness and correctness of the protection method. Simulation results show the robustness of the method against different fault locations, resistances, time intervals, and all evolving fault types. Moreover, the proposed method yields satisfactory performance against percentage errors and fault location line parameters. The proposed method is easy to implement and cost-effective for new and existing double circuit transmission line installation</p>

scholarly journals Design of Traveling Wave Location Method for Transmission Line Fault Based on EMD-TEO

2020 ◽  
Vol 2 (3) ◽  
pp. 73
Author(s):  
Juan Xia
Keyword(s):  
Transmission Line ◽  
Instantaneous Frequency ◽  
Traveling Wave ◽  
Fault Location ◽  
Arrival Time ◽  
Location Accuracy ◽  
Location Method ◽  
Hilbert Huang Transform ◽  
Mode Decomposition ◽  
Positioning Method

<p>With the rapid development of the social economy and the continuous extension of Internet technology, China’s power grid has entered the ranks of large-scale, high-voltage, and intelligent. The main purpose of the fault location of the transmission line is to eliminate hidden trouble and restore the fault line in time to ensure the safe and stable operation of the power system. With the advent of the smart grid, higher requirements are put forward for fault location accuracy, while the traditional wavelet transform and Hilbert-Huang transform have larger defects.</p><p>Therefore, this paper extensively analyses the generation and characteristics of fault traveling waves in transmission line fault, which proves that the traveling wave location method has higher location accuracy than the fault analysis method. Among them, the two-terminal traveling wave positioning method only uses the arrival time of the initial traveling wave, avoiding the principled defects and locating the dead zone of the single-terminal traveling wave positioning method, so the two-terminal traveling wave positioning method is generally used. The key of the two-terminal traveling wave location method is that it can accurately detect the arrival time of the initial traveling wave head. Although the Hilbert-Huang Transform (HHT) method can be used to detect the arrival time of the initial traveling wave head, the problem of inaccurate detection or failure of the wave head may arise when the instantaneous frequency of the IMF component decomposed by the Hilbert-Huang transform is used because of the mode aliasing in the empirical mode decomposition algorithm. Based on the above analysis, an empirical mode decomposition (EMD) combined with the Teager energy operator(TEO) is proposed for the traveling wave fault location of transmission lines. A large number of simulations prove that the EMD-TEO method in this paper can solve the problem of inaccuracy or failure of the HHT method using instantaneous frequency to detect the arrival time of wave head, and has higher fault location accuracy.</p>

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