Optimization of Horizontal Axis Tidal Turbines Farming Configuration Using Particle Swarm Optimization (PSO) Algorithm

Muhammad Asroril Mubarok*, Nu Rhahida Arini, Dendy Satrio

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Turbines installed in farming have slightly different characteristics. Mainly the problem is when several tidal turbines are placed side by side at the location of the tidal current flow. Therefore, is it necessary to predict energy at specific marine locations or to optimize the arrangement of turbines. The farm layout is precisely arranged to obtain the best position. One of the stages of optimizing turbines is the effective placement of turbine configuration using the Particle Swarm optimization (PSO) algorithm. This method is suitable for solving turbine positioning problems. This study aims to optimize position optimization to obtain the maximum power and minimum cost per power of the turbine using the PSO algorithm. The optimization of 2D position in three different scenarios has a substantial impact on the spacing between turbines and effects of objective function. The results of case 3 have a higher objective function value than cases 1 and 2, with an objective function value of 2.330 for five turbines and 1.415 for ten. The result shows turbine arrangement, the three cases show the influence of the current direction from various directions showing positions that are more spread out and pointing in identical directions but do not significantly affect the power generated. Speed has a significant effect on the power produced by the turbine. Variations in direction cause the position of the turbine to spread, while at an identical speed in one direction, the turbine's position is directed in that direction. The PSO method can produce optimal solutions at a cost per product in complex environments with varying directions and speeds in actual circumstances.

Original languageEnglish
Title of host publicationIES 2023 - International Electronics Symposium
Subtitle of host publicationUnlocking the Potential of Immersive Technology to Live a Better Life, Proceeding
EditorsAndhik Ampuh Yunanto, Afifah Dwi Ramadhani, Yanuar Risah Prayogi, Putu Agus Mahadi Putra, Maretha Ruswiansari, Mohamad Ridwan, Farida Gamar, Weny Mistarika Rahmawati, Rusli Muhammad Rusli, Fitrah Maharani Humaira, Ahmad Firyal Adila
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-25
Number of pages7
ISBN (Electronic)9798350314731
DOIs
Publication statusPublished - 2023
Event25th International Electronics Symposium, IES 2023 - Denpasar, Indonesia
Duration: 8 Aug 202310 Aug 2023

Publication series

NameIES 2023 - International Electronics Symposium: Unlocking the Potential of Immersive Technology to Live a Better Life, Proceeding

Conference

Conference25th International Electronics Symposium, IES 2023
Country/TerritoryIndonesia
CityDenpasar
Period8/08/2310/08/23

Keywords

  • Horizontal Axis Tidal Turbine
  • Ocean Renewable Energy
  • PSO
  • Tidal Farm
  • optimization

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