The key objective of wind turbine development is to ensure that output power is continuously increased. It is authenticated that wind turbines (WTs) supply the necessary reactive power to the grid at the time of fault and after fault to aid the flowing grid voltage. At this juncture, this paper introduces a novel heuristic based controller module employing differential evolution and neural network architecture to improve the low-voltage ride-through rate of grid-connected wind turbines, which are connected along with doubly fed induction generators (DFIGs). The traditional crowbar-based systems were basically applied to secure the rotor-side converter during the occurrence of grid faults. This traditional controller is found not to satisfy the desired requirement, since DFIG during the connection of crowbar acts like a squirrel cage module and absorbs the reactive power from the grid. This limitation is taken care of in this paper by introducing heuristic controllers that remove the usage of crowbar and ensure that wind turbines supply necessary reactive power to the grid during faults. The controller is designed in this paper to enhance the DFIG converter during the grid fault and this controller takes care of the ride-through fault without employing any other hardware modules. The paper introduces a double wavelet neural network controller which is appropriately tuned employing differential evolution. To validate the proposed controller module, a case study of wind farm with 1.5 MW wind turbines connected to a 25 kV distribution system exporting power to a 120 kV grid through a 30 km 25 kV feeder is carried out by simulation.

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Large size wind farms are booming day by day. As wind energy generated is highly dynamic and dependent on only wind, the overall system’s performance is important for profitable operation. Faults produced by wind turbine generator systems will impact not only the wind farms but also the interconnected system including the grid if proper protection is not ensured. In this paper it is proposed to model a 1.5MW wind farm using doubly fed induction generator and study the effects of phase to ground faults under various load conditions. For the study the vector control of the Doubly Fed Induction Generator is used.

This paper deals about an effective control strategy for wind power plant to bring out additional transmission capacity and better means of maintaining system reliability when compared to already existing control techniques. The rotor power of Doubly Fed Induction Generator (DFIG) is the only controlling parameter taken to determine four current reference values using this single strategy. These references are fed to rotor side and grid side current controllers which enables torque, grid side real and reactive power, as well as pitch angle control resulting in more prominent solution. This control strategy therefore relieves the need for switching between different controllers or reconfiguration of the hardware and it also provides automatic voltage and frequency regulation for network. The effectiveness and robustness of the proposed control strategy is studied through simulation carried out on detailed switched model of the system in the PSCAD/EMTDC version 4.2 software environment.