ANALYSIS OF ACCURACY IMPROVEMENT IN ADAPTIVE AUTORECLOSE BASED ON TRAVELING WAVE IN HYBRID TRANSMISSION LINES
The 150 kV South Sumatra-Muntok hybrid transmission interconnection system utilizes a combination of various transmission media, including 25.7 km of overhead transmission lines, 3.937 km of underground cables, and 36.1 km of submarine cables. With a total length of 65.76 km, the system adopts an...
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Main Author: | |
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/87423 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The 150 kV South Sumatra-Muntok hybrid transmission interconnection system
utilizes a combination of various transmission media, including 25.7 km of
overhead transmission lines, 3.937 km of underground cables, and 36.1 km of
submarine cables. With a total length of 65.76 km, the system adopts an adaptive
auto-reclose protection system that relies on the Traveling wave Fault Location
(TWFL) method, integrated with the 87L line current differential relay. The autoreclose
function is disabled when faults occur in the underground/submarine cable
(USC/UGC) segments due to the high likelihood of permanent faults that damage
the cable’s insulation layer. In contrast, most faults in the Overhead Line (OHL)
segments are transient, and thus, the auto-reclose function is only activated in the
OHL segments. This thesis explores methods to enhance the accuracy of TWFL in
fault location determination through the analysis of operational data and switching
events. The study emphasizes that the system’s accuracy is highly dependent on the
protection relay’s response speed and the optimization of the traveling wave line
propagation time (TWLPT) and traveling wave cable propagation time (TWCPT)
settings. The results indicate that by recalibrating the TWLPT and TWCPT to 344.5
?s and 3.048 ?s, respectively, the fault distance reading error can be reduced to
0.085%, or approximately ±56 meters. This suggests that a fine-tuning analysis
based on operational data can significantly improve the precision of fault locators,
reducing the error rate from 11.81% to 0.085%. |
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