NDLI: Proportional–integral–derivative parameter optimisation of blade pitch controller in wind turbines by a new intelligent genetic algorithm

Content Provider	IET Digital Library
Author	Civelek, Zafer Çam, Ertuğrul Lüy, Murat Mamur, Hayati
Abstract	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.
Starting Page	1220
Ending Page	1228
Page Count	9
ISSN	17521416
Volume Number	10
e-ISSN	17521424
Issue Number	Issue 8, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/10/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0029
Journal	IET Renewable Power Generation
Publisher Date	2016-05-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Blade Pitch Controller Community-based Optimisation Method Control of Electric Power System Genetic Algorithm Hot System IGA Controller Intelligent Genetic Algorithm MATLAB Mutation Rate Optimisation Technique PID Controller PID Parameter Setting Optimisation Power Generation Control Proportional-integral-derivative Parameter Optimisation Simulink Software Three-term Control Wind Power Plant Wind Turbine WT
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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