Design of VN-CSK System Based Parallel Transmission with RGB-LED

Author(s):  
Koki Taruishi ◽  
Yusuke Kozawa ◽  
Hiromasa Habuchi
Author(s):  
Nishant Kothari ◽  
Bhavesh R. Bhalja ◽  
Vivek Pandya ◽  
Pushkar Tripathi ◽  
Soumitri Jena

AbstractThis paper presents a phasor-distance based faulty phase detection and fault classification technique for parallel transmission lines. Detection and classification of faulty phase(s) have been carried out by deriving indices from the change in phasor values of current with a distance of one cycle. The derived indices have zero values during normal operating conditions whereas the index corresponding to the faulty phase exceeds the pre-defined threshold in case of occurrence of a fault. A separate ground detection algorithm has been utilized for the identification of involvement of ground in a faulty situation. The performance of the proposed technique has been evaluated for intra-circuit, inter-circuit and simultaneous faults with wide variations in system and fault conditions. The suggested technique has been evaluated for over 23,000 diversified simulated fault cases as well as 14 recorded real fault events. The performance of the proposed technique remains consistent under Current Transformer (CT) saturation as well as different amount and direction of power flow. Moreover, suitability to different power system network has also been studied. Also, faults having fault current less than pre-fault conditions have been detected accurately. The results obtained suggest that it is able to detect faulty phases as well as classify faults within quarter-cycle from the inception of fault with impeccable accuracy. Besides, as modern digital relays have been already equipped with phasor computation facility, phasor-based technique can be easily incorporated with relative ease. At last, a comparative evaluation suggests its superiority in terms of fault classification accuracy, fault detection time, diversify fault scenarios and computational requirement among other existing techniques.


2017 ◽  
Vol 79 (3) ◽  
pp. 1804-1816 ◽  
Author(s):  
Jin Jin ◽  
Ewald Weber ◽  
Aurelien Destruel ◽  
Kieran O’Brien ◽  
Bassem Henin ◽  
...  

2010 ◽  
Vol 63 (4) ◽  
pp. 988-997 ◽  
Author(s):  
Shaihan J. Malik ◽  
David J. Larkman ◽  
Declan P. O'Regan ◽  
Joseph V. Hajnal

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