Abstract: Nowadays, renewable energy resources based generation is increasingly used to feed the ever-increasing power demand. The integration of this generation with the grid requires power electronic converters. These power electronic converters, switching operations, non-linear loads, and faults occurring in the network are the major causes of Power Quality Disturbances (PQDs). These PQDs cause severe problems to the sensitive equipment of end-user. Hence, Power Quality (PQ) becomes the main issue, both utility and customers are now concern about it. To mitigate the PQ problem, we need an accurate PQ monitoring system that can detect and classify the PQDs. A lot of research is going in this field. The first step of this research is to get some synthetic data to train and test the detection and classification algorithms. So, the current trend is to generate the single and multiple PQDs using integral mathematical models represented as parametric equations. This paper presents the implementation of integral mathematical models of both single and multiple PQDs such as voltage sag, voltage swell, voltage interruption, harmonics, voltage flicker, voltage notch, impulsive transient, oscillatory transient, voltage sag with harmonics, voltage swell with harmonics, and voltage interruption with harmonics using MATLAB programming. This will provide a fast and automatic way for the generation of PQDs to the researcher working in this area.

Keywords: Power Quality; Power Quality Disturbances, Power Quality Monitoring, Detection and Classification.

| DOI: 10.17148/IARJSET.2021.8657