Integration of wind and solar farms in a doubly fed induction generator using hybrid GA-ANN controllers

Abstract

• An emulated wind turbine (WT) drive system is used. • The THD values for source current are 3.03% for PI and 1.93% for GA-ANN. • Landsman converter has proved to be more efficient. • The gain of 4 and an output voltage of 1200 v which is more when compared to Zeta and Flyback converters. Because of global warming concerns and the aim of decreasing nonrenewable energy sources, the direction of power production is being steered towards sustainable power sources rather than conventional ones. Hence, a n emulated wind turbine (WT) drive system is used in this study to assess the behavior of a grid-connected Doubly Fed Induction Generator (DFIG) based wind energy system. In order to ensure uniform and continuous power supply from renewable sources to the grid, a hybrid microgrid system has been created by taking into account a PV fed Landsman converter as part of the design. The control of wind generators is divided into two parts: rotor control and grid control. The grid side control is achieved via the use of a PI controller, and the rotor side control is achieved through the combination of the stator flux and the D -q reference frame. The suggested system manages actual and reactive power, as well as DC link voltages, in an efficient manner, and this has been shown at a variety of various speeds (sub and super synchronous). This paper presents a new Artificial Neural Network (ANN)-based tracking of the Maximum Power Point (MPP) for PV-fed Landsman converters that is based on the Genetic Algorithm (GA). The controlling mechanism is tested on an emulated wind turbine that is driven for concurrent control of the DC tie potential, active and reactive powers using MATLAB and an experimental bench configuration. By using this methodology, the THD values for source current utilizing the PI and GA-ANN based systems, are obtained as 3.03% and 1.93%, respectively. Also, the employment of Landsman converter has proved to be more efficient with the gain of 4 and an output voltage of 1200 V which is more when compared to Zeta and Flyback converters.