A Wind power technology has revolutionized the energy landscape, emerging as a vital player in the global transition towards sustainable energy solutions. The variability of wind resources and the fluctuating load dynamics in these setups necessitate a sophisticated approach to bolster system stability. To address this, we introduce a pioneering methodology based on UAC strategies, executed through MATLAB-based simulations. This paper is driven by two core objectives: firstly, to improve wind-diesel's dynamic stability microgrids by orchestrating RTC of reactive power, and secondly, to mitigate the impacts of VWP generation. Leveraging advanced control algorithms, we optimize GES (Generator Excitation Systems), enabling meticulous regulation of reactive power flow. Through a comprehensive analysis of WTOs (Wind Turbine Outputs) and LDRs (Load Requirements), our approach adeptly adapts to evolving conditions, ensuring steady VPs (Voltage Profiles) while curtailing power losses. Simulation outcomes affirm the efficacy of our UAC approach, highlighting its capability to maintain desired VP and RP (Reactive Power) levels, even amidst the most challenging VWCs (Variations in Wind Conditions). In order to keep up the stability of a system bus voltage, a second adaptive the voltage compensation the controllers for the static var compensator (SVC) using a double sliding optimal strategy is suggested. This is due to the fluctuation in voltage caused by variable wind energy and reactive load changes of isolated wind-diesel systems.