Items where Author is "Pehlivan, Ahmet Selim"

Article

Pehlivan, Ahmet Selim and Bahçeci, Beste and Erbatur, Kemalettin (2022) Genetically optimized pitch angle controller of a wind turbine with fuzzy logic design approach. Energies, 15 (18). ISSN 1996-1073

Pehli̇van, Ahmet Selim and Kraljevic, Dario and Triplat, Ivan and Bahçeci, Beste (2022) Critical speed calculation of a refurbishment of 11MW hydro power plant unit. Turkish Journal of Electrical Engineering and Computer Sciences, 30 (3). pp. 644-658. ISSN 1300-0632 (Print) 1303-6203 (Online)

Pehlivan, Ahmet Selim and Akşit, Mahmut Faruk and Erbatur, Kemalettin (2021) Fatigue analysis design approach, manufacturing and implementation of a 500 kW wind turbine main load frame. Energies, 14 (12). ISSN 1996-1073

Papers in Conference Proceedings

Pehlivan, Ahmet Selim and Bahçeci, Beste and Erbatur, Kemalettin (2021) Performance analysis of a pitch angle controller for 2MW wind turbine under abrupt wind speed conditions. In: International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

Pehlivan, Ahmet Selim and Bahçeci, Beste and Erbatur, Kemalettin (2021) 2MW rüzgar türbini için kanat açısı kontrolörleri P, PI, PID ve optimize edilmiş PID'nin performans karşılaştırması [Performance comparison of pitch angle controllers P, PI, PID and optimized PID for 2MW wind turbine]. In: Otomatik Kontrol Türk Milli Komitesi Ulusal Kongresi (TOK 2021), Van, Türkiye

Pehlivan, Ahmet Selim and Erbatur, Kemalettin (2020) Genetic algorithm optimization of PID pitch angle controller for a 2 MW wind turbine. In: International 2nd Conference on Sustainable Energy and Energy Calculations (ICSEEC2020), Online Live Conference

Pehlivan, Ahmet Selim and Erbatur, Kemalettin (2020) Performance comparison of pitch angle controllers for 2 MW wind turbine. In: International 2nd Conference on Sustainable Energy and Energy Calculations (ICSEEC2020), Online Live Conference

Thesis

Pehlivan, Ahmet Selim (2023) A novel fuzzy logic pitch angle controller with genetic algorithm optimization for wind turbines. [Thesis]