Maximum Power Extraction and Monitoring from Wind Power Generation System Using Intelligent Controllers

Abstract

There has been a growing interest in wind energy in latest years as it is a budding source for generating electricity with a negligible environmental impact. With the development of aerodynamic models, wind turbines are easily accessible, capable of capturing hundreds of kilowatts of energy. They generate a significant quantity of energy when such WECS are incorporated into the grid. Variable Speed Generation (VSG) strategies were used to maximize energy extraction from the wind. While variable velocity operation requires greater complication and original investment, these disadvantages are offset by increasing energy capture and improving flexibility in control. A growing number of variable velocity WECS systems are therefore being suggested as wind technology advances. Variable Velocity Generation (VSG) approaches differ the turbine’s rotational speed by regulating either a mechanical or electrical parameter to keep a steady turbine tip-speed ratio. This is called a MPPT controller. Maximum power point region is the region in which wind speed is 5–12 m/s and in this region the pitch angle control is done. The monitoring was when the pitch angle controller was designed for MPPT using Fuzzy Logic controller for a 50 Hz system connected to a grid and compared the performance with conventional PI controller. The proposed designed control system topologies designed will regulate pitch command; therefore, power extraction framed can be controlled and maximized. The results show that the proposed Fuzzy logic pitch angle control approach had better performance and improved by 10% from the controllers such as PI and therefore, the efficiency of the system gets improved.