Wind energy conversion system using fractional least means fourth-based control for power quality

This work presents the wind turbine-driven self-excited induction generator (SEIG) for wind-based distributed power generation under nonlinear load. A fractional least means fourth algorithm is applied for a distribution static compensator (DSTATCOM) to regulate magnitude of the frequency and terminal voltage of SEIG for power quality improvement. The voltage source converter (VSC) includes a battery energy storage system which helps stabilize power during fluctuations in wind energy. Proposed control technique is used to calculate the reactive and active components of distorted load currents. These load current components are utilized to estimate the reference supply currents, which generate the gate pulses for VSC. It is considered as a DSTATCOM. The suggested control scheme has provided improvement by reducing oscillations and settling time in the estimation of fundamental components. An improvement in the terminal voltage performance is also observed in terms of settling time and lower percentage overshoot when compared to FLMS technique. The system optimized the proportional-integral gains using the crayfish optimization algorithm. This optimization strategy is assessed using statistical measures including settling time, rising time, and percentage overshoot under dynamic conditions, and the results obtained are compared with particle swarm optimization method. The model has been developed and tested using SIMULINK in the MATLAB environment by considering IEEE 519-2014 standards.