This article aims to improve the power quality components of the AC microgrid (ACMG). The proposed module for this article is a modified-unified power quality conditioner (M-UPQC). The M-UPQC controller performs on principles of current and voltage source inverters and the resonant component of the system. Here, the research innovation consists of two sections: first, the modification of the desired module controller setting according to the power quality nature received from the grid to find the best parameters for resetting the M-UPQC controller; second, adjusting the proportional-integral multiresonant (PI-MR) control parameters of M-UPQC by the black hole optimization (BHO) and particle swarm optimization (PSO) techniques. In the following, the proposed procedure will be a programmed multiobjective technique. The designed multiobjective functions will be optimized by the BHO and PSO methods to adjust PI-MR controller parameters to reduce the system harmonic perturbations. The simulation results show the improvement of the ACMG operation by considering the proposed technique. To confirm the results obtained from the case study simulation platform, the experimental results of the harmonic components are presented in the results section.

This study aims to improve the quality of operation parameters of the stand-alone hybrid microgrids (HMGs). The proposed module for the AC microgrid (ACMG) is a modulated-unified power quality conditioner (M-UPQC). Furthermore, the suggested component for the DC microgrid (DCMG) is a switched-inductor boost converter module (S-IBCM). The M-UPQC control method is based on inverter modules and the system resonant features. The aim of S-IBCM applied is to improve DC microgrid (DCMG) efficiency. In this paper, the research challenge consists of two sections: first, adjusting the control parameters of M-UPQC by the black hole optimization (BHO), Harris hawk optimization (HHO), and grasshopper optimization algorithm (GOA) techniques, respectively; second, presenting a new design of the BC module called S-IBCM to increase DCMG efficiency. The programmed multi-objective functions (MOFs) for M-UPQC contain the harmonic parameters. Finally, according to output results, the performance conditions for ACMG and DCMG divisions achieve significantly improved by the proposed modules adopted. Furthermore, the performance of the M-UPQC operating under static and dynamic disturbances is tested through an experimental setup.

The purpose of this paper is to study the harmonic behavior of hybrid microgrids (MGs). To achieve the desired goal, a modified active power filter (MAPF) and a power filter compensator kit (PFCK) modules have been used to improve the harmonics of the AC part of the system. The main challenge and feature of this research is the optimization of MAPF and PFCK controller gain coefficients hierarchical, using Harris hawk optimization (HHO), grasshopper optimization algorithm (GOA), artificial bee colony (ABC), and differential evolution (DE), respectively. Following, this technique was applied in the three control loops including, voltage and current harmonics, and system controller error to reduce the range of the mentioned harmonics to the permissible range. The method will be interesting considering that the PI and PID tuning is based on parallel feed‐forward. The programmed objective functions include the three components current THD, voltage THD and controller error hierarchically. From the point of view of the MGs hierarchical control, the method presented in this study will be implemented in the second level of hierarchical control. In order to improve the operation of the DC part of the grid, a boost converter module (BCM) has been introduced in the form of a new synchronization scheme. The output of the simulation shows the reduction of the harmonic amplitude of the system by the mentioned modules.