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Intelligent-Based Maximum Power Extraction on Grid-Integrated Multilevel Inverter-Fed Wind-Driven Induction Generators
Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India
Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
Department of Electrical and Electronics Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India
- 1 Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India
- 2 Department of Electrical and Electronics Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India
- 3 Department of Electrical and Electronics Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India
Circuits and Systems·Volume 07 (2016)·Pages 2551–2567·Published 5 July 2016·DOI10.4236/cs.2016.79221
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Abstract
This paper presents an intelligent controller employing Adaptive Neuro-Fuzzy Inference System (ANFIS) for extracting maximum power from the wind energy conversion system even during the change in the wind speed conditions with improved quality of power. The proposed induction generator with multilevel inverter along with intelligent controller based Maximum Power Point Tracking (MPPT) technique aims at integrating winds system with improved maximum power injection and minimum harmonic issues. The proposed method will improve the power quality which is delivered to the grid in terms of harmonic, and inject the maximum power to the grid. To validate the effectiveness of the proposed control strategy, ANFIS controller, Fuzzy Inference System (FIS) and without MPPT controller have been presented and tested using MATLAB/Simulink environment.
KeywordsWind EnergyMultilevel InverterMPPT TechniqueANFISFISHarmonics
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