Optimization Economic and Emissions of Hydro and Thermal Power Plants in 150 kV Systems Using the Dragonfly Algorithm

Inform

View Publication Info
 
 
Field Value
 
Title Optimization Economic and Emissions of Hydro and Thermal Power Plants in 150 kV Systems Using the Dragonfly Algorithm
 
Creator Wibowo, Bayu Setyo
Handoko, Susatyo
Hermawan, Hermawan
 
Subject Electricity, Economic and Emissions dispatch, Dragonfly Algorithm
 
Description Electricity is one of the energies required by daily living since the greater demand for electricity increases greenhouse emissions that create emission gases resulting in global climate change. The main portion of the output cost is fuel's cost to manufacture electrical energy in thermal turbines. The use of electrical energy is currently rising increasingly following the increasing population. The research aims to optimize hydro generation to minimize thermal generation expense and address economic problems and pollution from shipping. With 2016b using Matlab applications and the lambda iteration process, the analysis method uses the Dragonfly Algorithm method. The analysis found that the average cost of fuel consumption provided by the Dragonfly Algorithm method was IDR 151,164,418 per day with an emission of 917.40 tons per day, based on the simulation results the Dragonfly Algorithm in testing by considering the emission of 5 practical steps. Meanwhile, with the emission of 918,044 tonnes per day, the average cost of fuel consumption produced by the Lambda Iteration method is IDR 151,202,209 per day. Test results can enhance the fuel consumption cost of IDR 37,791 and emissions of 0.641 tons with the Dragonfly Algorithm process.
 
Publisher Universitas Dr. Soetomo
 
Contributor
 
Date 2021-01-31
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

 
Format application/pdf
 
Identifier https://ejournal.unitomo.ac.id/index.php/inform/article/view/3320
10.25139/inform.v6i1.3320
 
Source Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol 6, No 1 (2021); 8-13
2581-0367
2502-3470
 
Language eng
 
Relation https://ejournal.unitomo.ac.id/index.php/inform/article/view/3320/pdf
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3320/728
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3320/729
https://ejournal.unitomo.ac.id/index.php/inform/article/downloadSuppFile/3320/730
 
Rights Copyright (c) 2021 Bayu Setyo Wibowo
http://creativecommons.org/licenses/by-sa/4.0
 

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us

Twitter

Copyright © 2015-2018 Simon Fraser University Library