Applying anfis to control wind generator for reducing power oscillation
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nhontd@hcmute.edu.vnKeywords:
Doubly Fed Induction Generator (DFIG), Adaptive Neural Fuzzy Inference System (ANFIS), Grid Side Converter (GSC), PI controller, Stability ImprovementAbstract
The content of this research paper presents the method to control Grid Side Converter (GSC) of a Doubly Fed Induction Generator (DFIG)-based wind turbine (WT) for improving the stability of the generator. To present the power systems, a well-known power system with three Synchronous Generators (SGs) and nine buses that is widely used in many types of research is applied. The Adaptive Neural Fuzzy Inference System (ANFIS) algorithm which combines between fuzzy logic and neuro-network that has advantages of both above controllers is proposed to replace the traditional Proportional Integral (PI) controller. The simulation results are performed by using commercial Matlab software when happening severe faults in the studied system such as three-phase short-circuit fault and wind speed suddenly change. It can be clearly concluded from the simulation results that the proposed ANFIS controller is suitable to enhance the stability of the DFIG-based wind turbine generator and power systems as well.
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