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

Autor: Afandi A.N., Fadlika Irham, Sias Quota Alief, Rahmawati Y., Lestari D., Handayani A.N., Sulistyorini Yunis, Farrel C.W.A., Michiko R.S.A.
Jazyk: English<br />French
Rok vydání: 2018
Předmět:
Zdroj: MATEC Web of Conferences, Vol 204, p 04002 (2018)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/201820404002
Popis: 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.
Databáze: Directory of Open Access Journals