Today, generation based on renewable energy sources is employed more and more to meet the rising demand for electricity. Power electronic converters are needed for this generation's grid integration. The main causes of Power Quality Disturbances are these power electronic converters, switching activities, non-linear loads, and network problems (PQDs). The end-delicate user's equipment is severely harmed by these PQDs. As a result, Power Quality (PQ) emerges as the primary concern for both utilities and customers. We require a precise PQ monitoring system that can identify and categorize PQDs in order to reduce the PQ issue. There is a tone of study being done in this area. This research's initial stage is to collect some artificial data to train and test the detection and classification algorithms is the initial stage in this project. In order to create single and many PQDs, it is currently popular to use integral mathematical models that are expressed as parametric equations. This study demonstrates the use of MATLAB programming to create integral mathematical models of single and multiple PQDs, including voltage sag, swell, interruption, harmonics, voltage flicker, voltage notch, impulsive transient, oscillatory transient, and voltage sag with harmonics. This will give the researcher working in this field a quick and automatic technique to generate PQDs.