• Vidya V. Muneshwar
• Dr. V. N. Ghate

: In wind generation system, output of wind turbine is varying which is unacceptable by the output side load and can affect the stability and reliability of the overall system and difficult to achieve the maximum power output. Purpose of this study is investigating a proper maximum power point tracking (MPPT) with the help of intelligent controller and switch reluctance generator (SRG) which overcomes the disadvantage of classic controllers like PI,PD, PID. The intelligent controllers used are artificial neural network controller (ANNC) and fuzzy logic controller (FLC). The response of both controllers are compared together. The systems are simulated in MATLAB/ Simulink environment.

Maximum power point tracking, Artificial neural network, Fuzzy logic controller, Wind plant, Switch reluctance generator

"Desing and Simulation of Intelligent Controller for MPPT in Grid Connected Wind Plant using SRG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.130-142, May-2019, Available :http://www.jetir.org/papers/JETIR1905318.pdf

"Desing and Simulation of Intelligent Controller for MPPT in Grid Connected Wind Plant using SRG", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp130-142, May-2019, Available at : http://www.jetir.org/papers/JETIR1905318.pdf