A Wavelet Based Directional Algorithm for UHVDC Line Protection

2015 ◽  
Vol 713-715 ◽  
pp. 950-953
Author(s):  
Ya Jie Li ◽  
Jian Cheng Tan ◽  
Shu Xian Zhang

When fault distance is greater than a certain value, attenuation of high frequency fault signal over the line is greater than what the DC line boundary is subject to. To sensitively detect a fault and improve the reliability of UHVDC (Ultra High Voltage Direct Current) transmission line protection, a new protection scheme based on wavelet based direction element is proposed, where directional element and attenuation of high frequency energy are used to identify an internal fault. Extensive simulation results show that the proposed protection scheme is able to sensitively detect high impedance faults, identify the faulty pole.

2011 ◽  
Vol 383-390 ◽  
pp. 5327-5333
Author(s):  
Jian Dong Duan ◽  
Wen Lu ◽  
Lin An

ABB and SIEMENS schemes based on the voltage change rate are the existing main protection for HVDC transmission lines. But the analysis and simulation tests show that these protection schemes may be unreliable as high impedance faults or as disturbances of above 2% noisy. The paper presents a new protection scheme of traveling wave current polarity comparison for a bipolar HVDC transmission line. The traveling wave current polarity is represented by the wavelet modulus maxima (WMM) of the fault current traveling wave. The traveling wave current polarity comparison protection scheme is evaluated by PSCAD. The extensive simulation studies show that the proposed scheme is reliable to distinguish internal faults from external faults of HVDC transmission lines. And the protection scheme is immune to high impedance faults and able to accurately detect the fault line under the electromagnetic coupling circumstance.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Aleena Swetapadna ◽  
Satarupa Chakrabarti ◽  
Almoataz Y. Abdelaziz ◽  
Hassan Haes Alhelou

2020 ◽  
Vol 69 (7) ◽  
pp. 5233-5242
Author(s):  
Douglas Pinto Sampaio Gomes ◽  
Cagil Ozansoy ◽  
Anwaar Ulhaq

Author(s):  
Fan Zhang ◽  
Longhua Mu ◽  
Wenming Guo

Multi-microgrid has many new characteristics, such as bi-directional power flows, flexible operation modes and variable fault currents with different control strategy of inverter interfaced distributed generations (IIDGs). All these featuring aspects pose challenges to multi-microgrid protection. In this paper, current and voltage characteristics of different feeders are analyzed when fault occurs in different positions of multi-microgrid. Based on the voltage and current distribution characteristics of the line parameters, a new protection scheme for the internal fault of multi-microgrid is proposed, which takes the change of phase difference and amplitude of measured bus admittance as the criterion. This scheme with high sensitivity and reliability, has a simple principle and is easy to be adjusted. PSCAD/EMTDC is used in simulation analysis, and simulation results have verified the correctness and effectiveness of the protection scheme.


2019 ◽  
Author(s):  
Douglas Pinto Sampaio Gomes ◽  
Cagil Ozansoy ◽  
Anwaar Ulhaq

The behavior of High-Impedance Faults (HIFs) in power distribution systems depends on multiple factors, making it a challenging disturbance to model. If enough data from real staged faults is provided, signal processing techniques can help reveal patterns from a specific type of fault. Such a task is implemented herein by employing the Shift-Invariant Sparse Coding (SISC) technique on a data set of staged vegetation high-impedance faults. The technique facilitates the uncoupling of shifted and convoluted patterns present in the recorded signals from fault tests. The deconvolution of these patterns was then individually studied to identify the possible repeating fault signatures. The work is primarily focused on the investigation of the under-discussed high-frequency faults signals, especially regarding voltage disturbances created by the fault currents. Therefore, the main contribution from this paper is the resulted evidence of consistent behavior from real vegetation HIFs at higher frequencies. These results can enhance phenomena awareness and support future methodologies dealing with these disturbances.


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