Wind energy technologies are improving even faster than other renewable resources in the 21st century, such as solar, geothermal, etc. In this article, the conventional converter is replaced by a multilevel converter. This simple scheme introduces a low frequency harmonic distortion substance of high intensity into the PMSG and therefore increases the total loses in it. The fuzzy logic is often used as a machine side converter control technique to maintain the constant DC voltage provided to GSC without any additional DC-DC converter. The initially designed Based Load Side Converter (LSC) has been used to minimize harmonics and professional and non-ordinately deliver the reactive power to the load. The feasibility of the proposed system model and integrated control strategy are verified using MATLAB/Simulink simulations.

This paper presents the fuzzy logic-based controller model for the integration of the photovoltaic system into the utility grid. Recently, the photovoltaic (PV) generation is growing fast as an effective and cheap energy source. In any PV based system, the inverter is an essential part, which is capable of regulating the current flow between the grid and DC. However, the problem of the integration of PV is that it relies on weather conditions. Therefore, there is a necessity for developing control techniques for the grid integration PV system including a method for voltage and current control that stabilizes the voltage and current at the inverter input to guarantee a continuous flow of energy among the grid and the PV system. This paper presents control and simulation for the integration of the PV system into a grid using MATLAB/Simulink. The PV integration is connected to the boost DC/DC converter and the controller system is based on the maximum power point tracking (MPPT) with a fuzzy logic based controller that helps PV to ensure the maximum power in case of fluctuation in the weather, and then integrated into the AC utility grid by DC/AC inverter. The system stability tests for different weather conditions in the PV system. This paper advocate that the proposed fuzzy logic controller gives a good performance over regular control methods.

Power system stability is one of the most crucial issues which deals with the response of the system to the errors such as: Sudden load change, Short circuit, Prime mover failure, Excitation failure etc. To maintain the stability and the damping oscillation of power system. Recently, FACTS controllers have been proposed to enhance the transient or dynamic stability of the power systems, e.g.: SVC, TCSC, STATCOM. In this a fuzzy logic controller is proposed to apply a suitable control signal to STATCOM. To improve the fault clearing time and transient stability improvement within a particular duration. It is found that the fault clearing times of 0.10sec for generator (G1) under test are self-stable with respect to simulation time. Proposed method is implemented in a single machine infinite bus system and the results are compared with conventional energy function-based controllers.