This project discusses the comprehensive control of a wind turbine system integrated with a mechanical plant using a Proportional-Integral-Derivative (PID) controller. The project presents an algorithm that enables a control structure utilizing a four-leg inverter connected to the grid side. This control structure serves the purpose of injecting the available energy and functioning as an active power filter, mitigating load current disturbances and enhancing power quality. In this study, we examine a four-wire structure that incorporates three stages and includes both single-stage straight and nonlinear loads. In the context of wind turbines, the utility side controller serves the purpose of mitigating disturbances that arise due to the presence of reactive, non-linear, and unbalanced single- and multi-phase loads. Additionally, it is responsible for delivering dynamic and responsive electricity in accordance with the system's requirements. In situations when wind power is unavailable, it is recommended to utilise a controller that enhances power quality by employing a DC-link capacitor in conjunction with a power converter connected to the grid. The primary distinction of the suggested methodology, in comparison to existing approaches in the field, lies in its reliance on the deteriorations of the Conservative Power Theory as the basis for its control structure. This choice provides separate power and current references for the inverter control, hence giving very versatile, specific, and powerful features. Continuous benchmarking of programming has been conducted in order to evaluate the performance of the suggested control algorithm for uninterrupted and continuous operation. The control approach is implemented and validated in hardware-in-the-loop (HIL) systems utilising Opal-RT and a Texas Instruments digital signal processor (DSP). The control system is implemented and validated using MATLAB/SIMULINK. The results validated our ability to enhance quality control and allowed for the exclusion of separate channels, contributing to a more streamlined, adaptive, and reliable implementation of an intelligent system-based control.