Simulation and real-time implementation of shunt active filter id-iq control strategy for mitigation of harmonics with different fuzzy membership functions

In this research study, the shunt active filter (SHAF) is used to improve the power quality of the electrical network by mitigating the harmonics with the help of different fuzzy membership functions (M.Fs) (trapezoidal, triangular and Gaussian). It is quite difficult to optimise the performance of power system networks using conventional methods, because of the complex nature of the systems that are highly non-linear and non-stationary. Three-phase reference current waveforms generated by the proposed scheme are tracked by the three-phase voltage source converter in a hysteresis band control scheme. The performance of the proposed control strategy has been evaluated in terms of harmonic mitigation and dc-link voltage regulation under various source conditions. The proposed SHAF with different fuzzy M.Fs is able to eliminate the uncertainty in the system and SHAF gains outstanding compensation abilities. The detailed simulation results using Matlab/Simulink software are presented to support the feasibility of the proposed control strategy. To validate the proposed approach, the system is also implemented on a real-time digital simulator hardware and adequate results are reported for its verification.