APLIKASI NEURAL NETWORK PADA SYSTEM CONTROL TURBIN MIKRO HIDRO
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Authors:
Lie Jasa, Mauridhi Hery
Abstract:
“The flow of water that flows in the river at an altitude of a certain level can be used to rotate turbinesthat can produce rotary energy. When this rotary we used to rotate a generator it will generateelectrical energy. Micro-hydro power plant generating electricity in a small capacity that could bebuilt in location depends on its environmental conditions and capable of generating electricity in alimited capacity. The problem arises is that the frequency resulting from micro-hydro plants can notbe stable at around 50 Hz, this will be very influential with the voltage drops due to the addition ofthe load. To stabilize the turbin at a certain round, so far only use the height of water level inside thetank as the input, so that the turbine is expected to generate a fixed rotation. This standard methodwill extremely unstable when there is an increase in load. To overcome this problem, the volume ofwater entering the turbine is adjusted by using the Application Control Neural Network (ANN) withfeedback from the output frequency of the generator. ANN will be able to produce output accordingto the learning process based on the weight of the input neurons of the frequency, rotation, and height level to be able to control the microcontroller to drive the water turbine governor, so that cankeep pace with the changing load on a stable frequency at 50 Hz and a voltage of 220 VA.”
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PDF:
https://jurnal.harianregional.com/lontar/full-3688
Published
2021-11-09
How To Cite
JASA, Lie; HERY, Mauridhi. APLIKASI NEURAL NETWORK PADA SYSTEM CONTROL TURBIN MIKRO HIDRO.Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], nov. 2012. ISSN 2541-5832. Available at: https://jurnal.harianregional.com/lontar/id-3688. Date accessed: 28 Aug. 2025.
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Issue
Vol. 1, No. 1 Desember 2010
Section
Articles
Copyright
This work is licensed under a Creative Commons Attribution 4.0 International License
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