Constant Power Generation Optimization Using Modified Fuzzy Logic MPPT in Grid Connected Wind Turbine System

The output power of the wind energy conversion varies depending on the wind speed. Due to the nonlinear characteristics of wind turbines, Maximum Power Point Tracking (MPPT) is needed to maintain the maximum power output of the wind turbine in all conditions. However, with the continuous increase in the power of wind turbines connected to the network, the power system operators have problems, such as overload, overvoltage, and operation during network voltage disturbances. Therefore, this condition can be controlled using Constant Power Generation (CPG). The way to achieve this control is by modifying the MPPT algorithm. Constant Power Generation (CPG) uses a perturb and observe (P&O-CPG) based algorithm. The disadvantage of this method is that at steady state, the output power value oscillates around the peak power point so that it has large losses, the Fuzzy Logic Controller (FLC) method is used which can be used to increase the ability of MPPT. This research will discuss optimization Constant Power Generation (CPG) on a grid-connected wind turbine with the implementation of the Fuzzy Logic Controller (FLC) algorithm. The purpose of this CPG control is to limit power and avoid overvoltage in the load. The power limit injected into the load is determined by limiting the injection voltage where the load limit is +5% so that the maximum power limit entering the load is 231 V. In the FLC method there is no oscillation so it does not cause losses. The FLC algorithm has energy efficiency when there is a change in speed of 98. 9%.