Earlier difficulties in reducing harmonics involved managing the unpredictable and varying characteristics of Renewable Energy Sources (RES), resonance problems with passive filters, the intricate design and expensive nature of active filters, and the shortcomings of traditional controllers such as PI controllers, which face difficulties with instant adjustments and accurate calibration in changing power networks. This research proposes an intelligent approach for an optimal controller designed for harmonic suppression to maintain Power Quality (PQ) in Renewable Energy Systems (RES) through the use of a distribution network featuring a hybrid shunt active filter (HSAF). The proposed intelligent technique merges the functionality of the Multi-Strategy Fennec Fox Algorithm (MSFA) with a fractional-order Proportional Integral Derivative (FOPID) controller. In this approach, the MSFA optimizes the basic and harmonic loop settings of the hybrid shunt active filter, including the DC voltage and terminal voltage parameters. This information set is created through modifications in RES characteristics and fluctuations in both linear and non-linear loads, which are all controlled by an error minimization objective function. The MSFA creates ideal control commands by accurately forecasting the necessary parameters through this comprehensive information set. This method enhances system precision by guaranteeing reduced complexity for harmonic reduction during PQ events. The suggested model is put into practice using the MATLAB/Simulink environment, and its effectiveness is assessed in comparison to current techniques. When harmonic correction is applied to the load side owing to harmonic sources, the load voltages' magnitude is balanced and equal to one p.u. The total harmonic distortion (THD) of the load voltages and currents is kept at 0.81%.
AlKawak et al. (Mon,) studied this question.