Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika
The increasing daily need towards electrical energy demands for generation companies to conduct operational cost-saving strategy including the generation fuel. One of the strategies that can be done is through economical generation optimization. The genetics algorithm of the heuristics method is k...
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Format: | Article |
Language: | English |
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Universitas Syiah Kuala
2017-12-01
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Series: | Jurnal Rekayasa Elektrika |
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Online Access: | http://www.jurnal.unsyiah.ac.id/JRE/article/view/5451 |
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author | Sabhan Kanata |
author_facet | Sabhan Kanata |
author_sort | Sabhan Kanata |
collection | DOAJ |
description | The increasing daily need towards electrical energy demands for generation companies to conduct operational cost-saving strategy including the generation fuel. One of the strategies that can be done is through economical generation optimization. The genetics algorithm of the heuristics method is known for its ability to overcome the problems characterized as non-linear, non convex, integer/ discrete, not continuous, and a system with a lot of variables. The evaluation technique employing the evolution theory has been applied to the case of IEEE 26 buses power system and diesel power generation in a unit in Telaga, Gorontalo. The result shows that the proposed method is believed to be able to minimize the generation cost better than the previous method. The method is tested by applying for its real system in Telaga, Gorontalo and it is found that the total cost at Rp 20.201.000,00 per hour with total load at 5.000 kW. |
first_indexed | 2024-04-13T13:55:26Z |
format | Article |
id | doaj.art-5f507e5b4e694aaebda188add277ea53 |
institution | Directory Open Access Journal |
issn | 1412-4785 2252-620X |
language | English |
last_indexed | 2024-04-13T13:55:26Z |
publishDate | 2017-12-01 |
publisher | Universitas Syiah Kuala |
record_format | Article |
series | Jurnal Rekayasa Elektrika |
spelling | doaj.art-5f507e5b4e694aaebda188add277ea532022-12-22T02:44:13ZengUniversitas Syiah KualaJurnal Rekayasa Elektrika1412-47852252-620X2017-12-0113311912410.17529/jre.v13i3.54517172Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma GenetikaSabhan Kanata0Jurusan Teknik Elektro Fakultas Teknik Universitas Ichsan GorontaloThe increasing daily need towards electrical energy demands for generation companies to conduct operational cost-saving strategy including the generation fuel. One of the strategies that can be done is through economical generation optimization. The genetics algorithm of the heuristics method is known for its ability to overcome the problems characterized as non-linear, non convex, integer/ discrete, not continuous, and a system with a lot of variables. The evaluation technique employing the evolution theory has been applied to the case of IEEE 26 buses power system and diesel power generation in a unit in Telaga, Gorontalo. The result shows that the proposed method is believed to be able to minimize the generation cost better than the previous method. The method is tested by applying for its real system in Telaga, Gorontalo and it is found that the total cost at Rp 20.201.000,00 per hour with total load at 5.000 kW.http://www.jurnal.unsyiah.ac.id/JRE/article/view/5451Economic dispatchIEEE 26 busTelaga power plantgenetic algorithm |
spellingShingle | Sabhan Kanata Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika Jurnal Rekayasa Elektrika Economic dispatch IEEE 26 bus Telaga power plant genetic algorithm |
title | Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika |
title_full | Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika |
title_fullStr | Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika |
title_full_unstemmed | Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika |
title_short | Pembangkitan Ekonomis pada Unit Pembangkit Listrik Tenaga Diesel Telaga Gorontalo Menggunakan Algoritma Genetika |
title_sort | pembangkitan ekonomis pada unit pembangkit listrik tenaga diesel telaga gorontalo menggunakan algoritma genetika |
topic | Economic dispatch IEEE 26 bus Telaga power plant genetic algorithm |
url | http://www.jurnal.unsyiah.ac.id/JRE/article/view/5451 |
work_keys_str_mv | AT sabhankanata pembangkitanekonomispadaunitpembangkitlistriktenagadieseltelagagorontalomenggunakanalgoritmagenetika |