Adaptive Control of Three-Phase Induction Generator for Power Quality With PI Gains Optimization

This article discusses implementation of variable step size gradient adaptive least means square (VSSGA-LMS) control scheme for shunt connected distribution static compensator (DSTATCOM). DSTATCOM is connected in 3-phase self-excited induction generator (SEIG) based system feeding to Nonlinear Load. The entire operation of 3-phase SEIG such as harmonics reduction in generated current, reactive power control and load balancing is obtained through the parallel operation of DSTATCOM. The control is employed to obtain the reactive and active element of weight from non-ideal load currents. This is further utilized to trigger the voltage source converter (VSC). It also employs gradient information in the weight updating rule and is incorporated to keep the frequency and terminal voltage within the acceptable limit. The resulting VSSGA-LMS control strategy attains rapid convergence and minimizes steady-state errors. A comparison between the synchronous reference frame (SRF), and least mean square (LMS) control algorithms confirms the superiority of the proposed VSSGA-LMS approach. This is evident in faster settling times and reduced peak overshoot. Furthermore, for optimal PI gains, the particle swarm optimization (PSO) algorithm is integrated with the aforementioned control algorithm to stabilize the dynamics. System analysis has been developed to evaluate the performance of the PSO algorithm using different standard objective functions. This control scheme along with ITAE-based objective function, PSO-optimized gains improves the system performance and maintains the source current distortion within the standard limits. The performance of the suggested control system is assessed through MATLAB.