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Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS
| Content Provider | MDPI |
|---|---|
| Author | Chhipa, Abrar Ahmed Kumar, Vinod Joshi, Raghuveer Raj Chakrabarti, Prasun Jasinski, Michal Burgio, Alessandro Leonowicz, Zbigniew Jasinska, Elzbieta Soni, Rajkumar Chakrabarti, Tulika |
| Copyright Year | 2021 |
| Description | This paper proposes an adaptive neuro-fuzzy inference system (ANFIS) maximum power point tracking (MPPT) controller for grid-connected doubly fed induction generator (DFIG)-based wind energy conversion systems (WECS). It aims at extracting maximum power from the wind by tracking the maximum power peak regardless of wind speed. The proposed MPPT controller implements an ANFIS approach with a backpropagation algorithm. The rotor speed acts as an input to the controller and torque reference as the controller’s output, which further inputs the rotor side converter’s speed control loop to control the rotor’s actual speed by adjusting the duty ratio for the rotor side converter. The grid partition method generates input membership functions by uniformly partitioning the input variable ranges and creating a single-output Sugeno fuzzy system. The neural network trained the fuzzy input membership according to the inputs and alter the initial membership functions. The simulation results have been validated on a 2 MW wind turbine using the MATLAB/Simulink environment. The controller’s performance is tested under various wind speed circumstances and compared with the performance of a conventional proportional–integral MPPT controller. The simulation study shows that WECS can operate at its optimum power for the proposed controller’s wide range of input wind speed. |
| Starting Page | 6275 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en14196275 |
| Journal | Energies |
| Issue Number | 19 |
| Volume Number | 14 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-10-01 |
| Access Restriction | Open |
| Subject Keyword | Energies Industrial Engineering Anfis Fuzzy Logic Induction Generator Mppt Neural Network Renewable Energy Variable Speed Wecs Wind Energy Conversion System Wind Energy |
| Content Type | Text |
| Resource Type | Article |
