This inquiry aims to show a solar photovoltaic (PV) system that is linked to the grid and includes characteristics that allow for adjustments to be made to the power quality. Three major phases may be identified within the system. This system is employed to compensate for a range of power quality (PQ) issues, including harmonics, redundant reactive power, and load unbalancing, in addition to transferring power that is produced by a photovoltaic (PV) array to feed linear and nonlinear loads. This system also feeds linear and nonlinear loads. These are only some of the problems that our technology could be able to solve in the future. In addition to this, it can provide linear power to loads when this kind of power is required. A three-phase voltage source converter (VSC) is used so that the direct current (DC) electricity that is produced by the PV array may be converted into alternating current (AC). Alternating current, or AC, is the kind that is most often used. It is essential for the solar PV system that is connected to the grid to have an effective control strategy in order to simplify the transmission of active energy and to reduce the potential that power quality issues will occur. This research aims to illustrate how an adaptive generalized maximum Versoria criteria (AGMVC) controller may be used for a variable speed drive (VSC), which is a component of a solar photovoltaic energy conversion system. To guarantee effective utilization of the solar photovoltaic array, the maximum power point tracking (MPPT) method, which is founded on the perturb and observe algorithm, is used. The grid-integrated PV system’s experimental environment is first fabricated in the laboratory using an IGBT-based VSC and DSP (dSPACE DS-1202), and then the system itself is put together. Experiments are carried out to determine how effective the AGMVC control approach is. These experiments make use of a prototype that was developed inside the laboratory. This control method is evaluated in comparison with a variety of different conventional controllers, such as synchronous reference frame theory (SRFT) and instantaneous reactive power theory (IRPT), in addition to recently developed weight-based controllers, such as least mean square (LMS), least mean mixed norm (LMMN), and normalized kernel least mean fourth-neural network (NKLMFNN). To make a comparison between AGMVC and the control methods that have been discussed in the past, a number of criteria, such as fundamental weight convergence, steady state error, computational complexity, the requirement for phase lock loop (PLL), and the potential for providing harmonic compensation, are taken into consideration. The purpose of this comparison is to establish whether the AGMVC is more effective than the control approaches that were discussed before. In accordance with the IEEE-519 standard, the functionality of the system is evaluated and ranked in accordance with its performance during the testing. Harmonics, the maximum Versoria criteria, power factor correction (PFC), and solar photovoltaic are just some of the index terms that may be discovered in this section.
