Adjustment of variable speed wind turbine blade angle with Modified PSO
Abstract
Keywords
Kaynakça
- [1] Ma Y, Zhang A, Yang L, Hu C, Bai Y. “Investigation on optimization design of offshore wind turbine blades based on particle swarm optimization”. Energies, 12(10), 1-18, 2019.
- [2] Ata R. “Neural prediction of wind blowing durations based on average wind speeds for Akhisar location”. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 20(5), 162-165, 2014.
- [3] Soufi Y, Kahla S, Bechouat M. “Feedback linearization control based particle swarm optimization for maximum power point tracking of wind turbine equipped by PMSG connected to the grid”. International Journal of Hydrogen Energy, 41(45), 20950-20955, 2016.
- [4] Hannan MA, Parvin K, Kit YK, Jern KP, Hoque MM. “Particle swarm optimization based fuzzy logic mppt inverter controller for grid connected wind turbine”. International Journal of Renewable Energy Research, 9(1), 164-174, 2019.
- [5] Chen J, Yang R, Ma R, Li J. “Design optimization of wind turbine tower with lattice‐tubular hybrid structure using particle swarm algorithm”. The Structural Design of Tall and Special Buildings, 25(15), 743-758, 2016.
- [6] Asaah P, Hao L, Ji J. “Optimal placement of wind turbines in wind farm layout using particle swarm optimization”. Journal of Modern Power Systems and Clean Energy, 9(2), 367-375, 2021.
- [7] Moorthy CB, Deshmukh MK. “A new approach to optimise placement of wind turbines using particle swarm optimization”. International Journal of Sustainable Energy, 34(6), 396-405, 2015.
- [8] Hou P, Hu W, Soltani M, Chen Z. “Optimized placement of wind turbines in large-scale offshore wind farm using particle swarm optimization algorithm”. IEEE Transactions on Sustainable Energy, 6(4), 1272-1282, 2015.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Elektrik Mühendisliği (Diğer)
Bölüm
Araştırma Makalesi
Yazarlar
Göksel Gökkuş
Türkiye
Yayımlanma Tarihi
27 Şubat 2025
Gönderilme Tarihi
11 Aralık 2023
Kabul Tarihi
22 Mart 2024
Yayımlandığı Sayı
Yıl 2025 Cilt: 31 Sayı: 1