Artificial salmon tracking algorithm: Preliminary designing approach for optimizing the integrated mixed energy composition

A.N. Afandi; Irham Fadlika; Quota Alief Sias; Y. Rahmawati; D. Lestari; A.N. Handayani; Yunis Sulistyorini; C.W.A. Farrel; R.S.A. Michiko

doi:10.1051/matecconf/201820404002

All issues

Volume 204 (2018)

MATEC Web Conf., 204 (2018) 04002

Abstract

Open Access

Issue		MATEC Web Conf. Volume 204, 2018 International Mechanical and Industrial Engineering Conference 2018 (IMIEC 2018)


Article Number		04002
Number of page(s)		7
Section		Energy
DOI		https://doi.org/10.1051/matecconf/201820404002
Published online		21 September 2018

MATEC Web of Conferences 204, 04002 (2018)

Artificial salmon tracking algorithm: Preliminary designing approach for optimizing the integrated mixed energy composition

A.N. Afandi¹^,2^*, Irham Fadlika¹, Quota Alief Sias¹, Y. Rahmawati¹, D. Lestari¹, A.N. Handayani¹, Yunis Sulistyorini³, C.W.A. Farrel² and R.S.A. Michiko²

¹ Electrical Engineering Department, Universitas Negeri Malang, 65145 Malang, Indonesia
² Smart Power and Advanced Energy Systems Center, 65312 Batu, Indonesia
³ Department of Mathematics, IKIP Budi Utomo, 65119 Malang, Indonesia

^* Corresponding author: an.afandi@um.ac.id

Abstract

Recently, an energy mix providing becomes an important problem to face unsustainable energy sources fuelled by coal derivation. The optimal composition between various energy sources also leads to the generated portion of the unit commitment. By considering this issues, these works are subjected to find out the optimal scheduled production of the energy mix throughout an optimization problem considered conventional and renewable energy sources. Moreover, these studies also introduce Artificial Salmon Tracking Algorithm for carrying out the problem. By considering technical requirements, results show that the total energy mixing is produced dynamically to feed the hourly demand. The contribution of the conventional and renewable energy sources affect to discharged pollutants.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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