Proportional-integral-derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm
Yükleniyor...
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Inst Engineering Technology-Iet
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Output powers of wind turbines (WTs) with variable blade pitch over nominal wind speeds are controlled by means of blade pitch adjustment. While tuning the blade pitch, conventional proportional-integral-derivative (PID) controllers and some intelligent genetic algorithms (IGAs) are widely used in hot systems. Since IGAs are community-based optimisation methods, they have an ability to look for multi-point solutions. However, the PID parameter setting optimisation of the IGA controllers is important and quite difficult a step in WTs. To solve this problem, while the optimisation is carried out by regulating mutation rates in some IGA controllers, the optimisation is conducted by altering crossover point numbers in others. In this study, a new IGA algorithm approach has been suggested for the PID parameter setting optimisation of the blade pitch controller. The algorithm rearranging both the mutation rate and the crossover point number together according to the algorithm progress has been firstly used. The new IGA approach has also been tested and validated by using MATLAB/Simulink software. Then, its superiority has been proved by comparing the other genetic algorithm (GAs). Consequently, the new IGA approach has more successfully adjusted the blade pitch of a WT running at higher wind speeds than other GA methods.
Açıklama
LUY, Murat/0000-0002-2378-0009; Cam, Ertugrul/0000-0001-6491-9225
Anahtar Kelimeler
three-term control, genetic algorithms, wind turbines, power generation control, proportional-integral-derivative parameter optimisation, blade pitch controller, wind turbines, intelligent genetic algorithm, PID controllers, hot systems, community-based optimisation methods, PID parameter setting optimisation, IGA controllers, WT, mutation rate, MATLAB, Simulink software
Kaynak
IET Renewable Power Generation
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
10
Sayı
8
Künye
Civelek, Z., Cam, E., Luy, M. ve Mamur, H. (2016). Proportional-integral-derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm. IET RENEWABLE POWER GENERATION, 10(8), 1220–1228.
