Modified Genetic Algorithm for Optimization of Wind Energy Based Grid Connected System

Energy is considered as a vital source for financial with social growth activities. It is one amongst fast utilization in commerce, cultivation of domestic activities effectively. This further increases the demand remarkably. It will increase the energy rate. These sources of energy are reliant on climatic circumstances gap that presents in output features like environmental parameters. This suggests improvement of power approaches and plans that are used in the energy system of wind. The wind-turbine process, stability, control techniques, Power Quality (PQ) difficulties are the main concerns for wind farms. Accordingly, previous research proposed optimization techniques and controller to enhance wind energy system by PSO, Genetic Algorithm (GA) etc. This category of GA has many problems like very low convergence and great computational time. In this paper, the optimization is carried out by Modified Genetic Algorithm (MGA) for grid tied wind energy system. MGA delivers a better Total Harmonic Distortion (THD) and reduces the time of computation and the obtained results are compared with GA, fuzzy logic control using MATLAB Simulink