Capacitor Bank Controller using Artificial Neural Network with Closed-Loop System
Date
2020-08-01Author
WIDJONARKO, Widjonarko
AVIAN, Cries
SETIAWAN, Andi
RUSLI, Moch.
ISKANDAR, Eka
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Show full item recordAbstract
The problem of power factor in the industry is critical. This is due to
the issue of low power factor that can make the vulnerability of industrial
equipment damaged. This problem has been resolved in various ways, one of
which is the Automatic Power Factor Correction, with the most popular
device called capacitor bank. There are also many methods used, but several
methods require certain calculations so the system can adapt to the new plant.
In this study, researchers proposed a capacitor bank control system that can
adapt to plants with different capacitor values without using any calculations
by using an Artificial Neural Network with a closed-loop controller.
The system is simulated using Simulink Matlab to know the performance
with two testing scenarios. The first is changing the value of the power factor
on the system and changing the value of the capacitor power at each bank,
the second comparing it with the conventional methods. The results show
that the system has been able to adapt to different capacitor power values
and has a better performance than the conventional method in power factor
oscillation due to the extreme power factor interference.
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