Implementation of ANFIS based controller on IG wind farm for improved performance

Pragya Sharma, Satbir Singh, Vivek Pahwa

Abstract


In this paper, the transient performance of a 9-MW Induction Generator (IG) wind farm is improved by implementing an Adaptive Neuro Fuzzy Inference System (ANFIS) based controller on the turbine in MATLAB/SIMULINK environment using phasor analysis. Initially, the parameters of PI controller is developed using conventional method. Then, with the help of PI controller, the ANFIS based controller is trained. This developed controller reduces peak overshoot and settling time of active power and torque-speed characteristics in contrast to PI controller. Further, the system is linearized and the obtained results in time domain have been validated for stability by using Pole-Zero plot.

Keywords


ANFIS; Fuzzy logic; Induction Generator (IG); PI controller; Wind farm

Full Text:

PDF


DOI: http://doi.org/10.11591/ijra.v8i2.pp94-104

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

IJRA Visitor Statistics