• anand singh
• chetan kathwas
• anurag soni

In India, as a developing region, the introduction of sustainable energy presents an opportunity to provide a large number of people with a better source of energy resulting in a better quality of life while reducing the impact of global warming. Electricity is not available to many communities in India because the large capital investment required for the traditional electrical infrastructure has resulted in that a good reliable supply is only available in regions with strong economic and industrial activity and an existing grid infrastructure. The fact that renewable energy sources are also distributed sources offers an opportunity to save on the capital investment for the transportation and distribution of electricity. Though there are different renewable energy sources available such as photovoltaic and wind energy. Torque ripples and maximum power tracking form the most important problems facing Wind Energy Conversion System (WECS). This work presents modified toque ripple minimization algorithm for wind turbine using Artificial Neural Network (ANN) control. ANN which is designed to emulate the PI controller for closed loop operation under different wind speeds. Moreover inverter is used for connecting wind turbine generator to the grid in order to reduce Total Harmonic Distortion (THD).The MATLAB Simulink dynamic model developed wind turbine generator with ANN controller.

Wind Energy, Artificial Neural Network, Inverter, MATLAB , Simulation, Controller

"MATLAB/SIMULINK based Wind Energy System with Controlled by Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.213-218, June 2019, Available :http://www.jetir.org/papers/JETIR1906V31.pdf

"MATLAB/SIMULINK based Wind Energy System with Controlled by Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp213-218, June 2019, Available at : http://www.jetir.org/papers/JETIR1906V31.pdf