Adaptive Neuro-Fuzzy Inference System-Based Maximum Power Tracking Controller for Variable Speed WECS

Energies

Raghuveer Raj Joshi¹  Vinod Kumar¹  Abrar Ahmed Chhipa¹  Tulika Chakrabarti²  Elzbieta Jasinska³  Michal Jasinski⁴  Zbigniew Leonowicz⁴  Alessandro Burgio⁵  Prasun Chakrabarti⁶  Rajkumar Soni⁶ 

[1] College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur 313001, Rajasthan, India;Department of Basic Sciences, Sir Padampat Singhania University, Udaipur 313601, Rajasthan, India;Department of Operations Research and Business Intelligence, Wrocław University of Science and Technology, 50-370 Wrocław, Poland;Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland;Independent Researcher, 87036 Rende, Italy;Techno India NJR Institute of Technology, Udaipur 313003, Rajasthan, India;

关键词: ANFIS;    fuzzy logic;    induction generator;    MPPT;    neural network;    renewable energy;   

DOI  :  10.3390/en14196275

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown