NDLI: ANFIS based Wind Speed Sensor-less MPPT Controller for Variable Speed Wind Energy Conversion Systems

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ANFIS based Wind Speed Sensor-less MPPT Controller for Variable Speed Wind Energy Conversion Systems

Content Provider	Semantic Scholar
Author	Sitharthan, R. Geethanjali, M.
Copyright Year	2014
Abstract	Variable speed wind turbine, Doubly fed induction generator, Maximum power point tracking, Adaptive neurofuzzy inference system. Background: Although, wind energy is abundant, it varies frequently throughout the day depending on the environmental conditions. Such frequent wind speed variation, makes the necessity of maximum power point tracking device in the Wind Energy Conversion System (WECS). The amount of power output from a WECS depends upon the accuracy with which the peak power points are tracked by the maximum power point tracking controller of the WECS control system irrespective of the variable speed generator used. Objective: To reduce the complexity in tracking the optimal power from a variable speed wind energy conversion system. A Adaptive Neuro-Fuzzy Inference System (ANFIS) based Maximum Power Point Tracking (MPPT) technique is proposed. Results: Compared to the existing technique, the proposed method reduces the complexity in leaning the peak power. Furthermore, the proposed method forecasts the optimal rotor speed of the wind turbine using the measured wind speed. Therefore, by regulating the optimal rotor speed, maximum power is extracted. Conclusion: We have proposed a simple and accurate technique to extract maximum power from a grid connected variable speed operated doubly fed induction generator based WECS. The optimal rotor speed of the wind turbine is estimated by the proposed MPPT technique. Therefore, maximum power is extracted from WECS for variable wind condition by dynamically adjusting the speed control loop of the rotor side converter.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://ajbasweb.com/old/ajbas/2014/December/14-23.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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