The increasing need for electrical power as a result of rapid industrialization and population growth has created a pressing need for an effective and high-quality supply of electricity. The complexity of transferring and distributing electric power has increased with the growth of renewable energy sources and their increasing incorporation into traditional grid systems. Concerns about producing and distributing energy with adequate power quality have been made worse by the noticeable increase in the use of complex converters, devices for Flexible AC Transmission Systems, and advanced nonlinear loads in modern power systems. Strong power quality (PQ) must be maintained at the source and load ends of the power system network in order to guarantee its optimal operation. One of the most promising Distribution Flexible AC Transmission System (D-FACTS) devices that has been widely used to address power quality problems resulting from variations in the voltage, current, or frequency inside the distribution grid is the Dynamic Voltage Restorer (DVR). This paper proposes a Snake Optimisation Technique (SOT) to dynamically tune the parameters of the PI controller to respond robustly to various PQ issues in the Matlab/Simulink architecture. The system undertaken for study consists of a microgrid with photovoltaic, FC, DVR, along with battery-based energy storing devices. A thorough analysis of the various power system responses has been conducted by contrasting the proposed method with conventional Flower Pollination Algorithm (FPA) and Proportional Integral (PI) controllers. The efficacy of the proposed technique is confirmed by introducing severe PQ faults such as oscillatory transient and unbalanced load. By minimising harmonics and oscillations, the suggested controller is able to maintain constant system power indices even when PQ faults arise, thereby improving overall MG consistency, efficacy, as well as steadiness. These outcomes advocate the potential for present execution in MG systems.