Enhancing Power Quality in Distributed Power Generation Through Robust Sliding Mode Observer with Estimated PI Controller Gains

This study proposes a robust sliding mode observer (RSMO) algorithm for the settlement of power quality issues like balancing load, neutral current, and load current distortions in a wind energy non-conventional energy system operating at a remote site for small users with self-excited induction (SEIG) generator. Fast response, excellent robustness during harmonics, and easily tunable parameters are some key benefits of RSMO. Under mechanical and electrical transients, static frequency, voltage, and reactive power adjustments are maintained by this control at the point of common coupling (PCC). To mitigate the aforementioned current-based disruptions in the supply current, the simulation of DSTATCOM has been created in MATLAB/Simulink using an RSMO control strategy with accelerated particle swarm optimization (APSO)-enhanced PI controllers. The RSMO is compared with the conventional LMS control algorithm in terms of the rise time, settling time, and percentage overshoot as a performance quality indicator. This control scheme with the value of the optimized gain improves the system performance by reducing the burden on the generator and maintaining the source current distortion within IEEE 519-2014 standards. The MATLAB/Simulink results show the efficiency of the control strategy.