Intelligent-Based Maximum Power Extraction on Grid-Integrated Multilevel Inverter-Fed Wind-Driven Induction Generators
2016
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.
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