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Farrel Candra WA
Research Center of Smart Power and Energy Systems, Indonesia
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Combined Computational Intelligence Approach for the Power System Optimization Problem Arif Afandi; Irham Fadlika; Langlang Gumilar; Yuni Rahmawati; Quota Alief Sias; Irawan Dwi Wahyono; Yunis Sulistyorini; Farrel Candra WA; Michiko Ryuu Sakura A
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.959 KB) | DOI: 10.11591/eecsi.v5.1703

Abstract

This paper presents an adoption of a natural phenomenon as Thunderstorm Algorithm (TA) which is applied to solve a problem of the power production composition under various constraints. This work also introduces artificial salmon tracking algorithm (ASTA) for defining the optimal strategy of the power system on the power consumption. Both algorithms are tested on the IEEE-62 bus system as a selected structure for the mathematical cased model. By considering all parameters, results show that ASTA can be applied to predict the power consumption and TA also has good performances while searching the optimal solution. Moreover, the power production can be presented throughout an economic dispatch problem. Technically, this computation demonstrates the optimal solution with fast convergence and short time consumption. These processes also perform smooth and stable characteristics for the searching completion.
Co-Authors Arif Afandi Irham Fadlika Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Langlang Gumilar Michiko Ryuu Sakura A Sias, Quota Alief Yuni Rahmawati Yunis Sulistyorini