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

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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

2018 MATEC Web of Conferences Vol. 204 Conference paper Cited by 11 SDG 7SDG 17 Quartile

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. © The Authors, published by EDP Sciences, 2018.

Affiliations

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

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