A REVIEW ANALYSIS OF ARTIFICIAL NEURAL CONTROLLER BASED WIND ENERGY SYSTEM

AMRIT SHAKET, PRAMOD KUMAR RATHORE, A K JHALA

Abstract


ABSTRACT: In this paper present review analysis of Artificial Neural controller Based Wind Energy System 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.

Keywords


WIND ENERGY, ARTIFICIAL NEURAL NETWORK, INVERTER, MATLAB , SIMULATION, CONTROLLER.

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References


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