Travelling wave fault location algorithm for LCC-MMC-MTDC hybrid transmission system based on Hilbert-Huang transform

2020 ◽  
Vol 121 ◽  
pp. 106125 ◽  
Author(s):  
Dong Wang ◽  
Mengqian Hou
Keyword(s):  
Fault Location ◽  
Travelling Wave ◽  
Transmission System ◽  
Hilbert Huang Transform ◽  
Hybrid Transmission ◽  
Location Algorithm

An Improved Wide Area Travelling Wave Fault Location Algorithm

2012 ◽  
Vol 241-244 ◽  
pp. 373-378
Author(s):  
Yu Chen ◽  
Dong Liu ◽  
Bing Yin Xu
Keyword(s):  
Traveling Wave ◽  
Fault Location ◽  
Travelling Wave ◽  
Wide Area ◽  
The Real ◽  
Counter Example ◽  
Location Algorithm

In order to enhance the reliability of traveling wave fault location (TWFL) systems, an improved wide area traveling wave fault location (WA-TWFL) algorithms is presented in this paper. In the disturbance area that near to the fault position, we can first get the possible fault positions by using the outgoing path data from the substation that first records the initial traveling wave, then use the possible fault position to verify the reasonableness of data recorded. The fault position that has no counter-example in logical is the real fault position. EMTP simulation verifies the validity and applicability of this algorithm.

scholarly journals Two-terminal fault detection and location for hybrid transmission circuit

2021 ◽  
Vol 23 (2) ◽  
pp. 639
Author(s):  
Muhd Hafizi Idris ◽  
Mohd Rafi Adzman ◽  
Hazlie Mokhlis ◽  
Mohammad Faridun Naim Tajuddin ◽  
Haziah Hamid ◽  
...  
Keyword(s):  
Fault Detection ◽  
Fault Location ◽  
Detection Algorithm ◽  
Positive Sequence ◽  
Fault Estimation ◽  
Average Error ◽  
Fault Resistance ◽  
Hybrid Transmission ◽  
Check Method ◽  
Location Algorithm

This paper presents the algorithms developed to detect and locate the faults ata hybrid circuit. First, the fault detection algorithm was developed using the comparison of total positive-sequence fault current between pre-fault and fault times to detect the occurrence of a fault. Then, the voltage check method was used to decide whether the fault occurred at overhead line (OHL) or cable section. Finally, the fault location algorithm using the impedance-based method and negative-sequence measurements from both terminals of the circuit were used to estimate the fault point from local terminal. From the tests of various fault conditions including different fault types, fault resistance and fault locations, the proposed method successfully detected all fault cases at around 1 cycle from fault initiation and with correct faulted section identification. Besides that, the fault location algorithm also has very accurate results of fault estimation with average error less than 1 km and 1%.<br /><div> </div>

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