Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika

Hybrid systems are network controlled from any source renewable plant system such as wind turbine, photovoltaic, microhydro, etc. In practice, there are differences of frequency fluctuation are effect to power quality of system. There are my problems become increase of low frequency oscillation. The...

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Main Author: ABIDIN, Zainal
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2010
Subjects:
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author ABIDIN, Zainal
author_facet ABIDIN, Zainal
author_sort ABIDIN, Zainal
collection UGM
description Hybrid systems are network controlled from any source renewable plant system such as wind turbine, photovoltaic, microhydro, etc. In practice, there are differences of frequency fluctuation are effect to power quality of system. There are my problems become increase of low frequency oscillation. There are : (a) higher setting gain and low of time constant in Automatic Voltage Regulator (AVR), (b) many long transmission lines making weakline. In this study, design of controll with genetic algorithm to make optimum fittness of proportional integral (PI) to control of load frequency with Matlab/Simulink.Building of transfer function from diagram systems of wind and diesel to matrix and applicated to M-File for genetic algorithm is to get controlled for both damping ratio and real part tuning for reach overshoot and rise time better. Minimizing real part response system being faster. To show damping ratio response and real part must be simulated range of them. Genetic algorithm as proposed control can activate tuning optimization fot test control with 100 generations. Finnaly, test of stability sistem with Simulink/Matlab compared between uncontrolled system. In the simulation, overshoot and steady state respon system become faster from uncontrolled system.
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spelling oai:generic.eprints.org:861202016-04-13T08:28:38Z https://repository.ugm.ac.id/86120/ Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika ABIDIN, Zainal Power and Energy Systems Engineering (excl. Renewable Power) Electrical and Electronic Engineering Hybrid systems are network controlled from any source renewable plant system such as wind turbine, photovoltaic, microhydro, etc. In practice, there are differences of frequency fluctuation are effect to power quality of system. There are my problems become increase of low frequency oscillation. There are : (a) higher setting gain and low of time constant in Automatic Voltage Regulator (AVR), (b) many long transmission lines making weakline. In this study, design of controll with genetic algorithm to make optimum fittness of proportional integral (PI) to control of load frequency with Matlab/Simulink.Building of transfer function from diagram systems of wind and diesel to matrix and applicated to M-File for genetic algorithm is to get controlled for both damping ratio and real part tuning for reach overshoot and rise time better. Minimizing real part response system being faster. To show damping ratio response and real part must be simulated range of them. Genetic algorithm as proposed control can activate tuning optimization fot test control with 100 generations. Finnaly, test of stability sistem with Simulink/Matlab compared between uncontrolled system. In the simulation, overshoot and steady state respon system become faster from uncontrolled system. [Yogyakarta] : Universitas Gadjah Mada 2010 Thesis NonPeerReviewed ABIDIN, Zainal (2010) Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika. Masters thesis, Universitas Gadjah Mada. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=46984
spellingShingle Power and Energy Systems Engineering (excl. Renewable Power)
Electrical and Electronic Engineering
ABIDIN, Zainal
Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title_full Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title_fullStr Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title_full_unstemmed Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title_short Pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
title_sort pengaturan frekuensi hibrid turbin angin dan diesel dengan algoritma genetika
topic Power and Energy Systems Engineering (excl. Renewable Power)
Electrical and Electronic Engineering
work_keys_str_mv AT abidinzainal pengaturanfrekuensihibridturbinangindandieseldenganalgoritmagenetika