The current study is based on a survey on the exploration and analysis of stochastic harmonic distortion in power systems using multiple converters (Micro-Grid). When Renewable Energy Systems are integrated into EPS, they may create clean energy, fulfill consumer energy needs, and help to protect fossil fuel supplies, which are rapidly dwindling. These renewable energy sources (RES) are frequently connected to the grid via power converters (Voltage Source Converters) to provide the necessary energy regulation and conversion. However, Voltage Source Converter (VSCs) generates both current and voltage harmonics, has a negative impact on the Power Quality (PQ) of a small grid and has the potential to cause damage or equipment failure. In the face of uncertainties, such as those resulting from design parameter selection or system parameter changes, the amount of harmonic distortion of many VSCs may be greatly influenced and difficult to forecast. When dealing with VSC harmonic distortion levels in the face of uncertainty, it is necessary to use statistical methodologies.
The major focus of the conversation in this investigation is on the impact that voltage-source converter harmonics have on the power quality Power Quality (PQ) of a microgrid. The degree of harmonic distortion that is generated by several Voltage Source Converters (VSCs) may drastically change when there are uncertainties present, and its behavior might be difficult to anticipate as a result of these changes. These uncertainties might result from the design parameters’ selection or system parameters’ modification. Because of this, it is necessary to make use of statistical methods to measure the degrees of VSC harmonic distortion when there are uncertainties present. A practical microgrid lab consisting of three VSCs was also used to experimentally evaluate the Univariate Dimension Reduction (UDR’s) performance. The Monte Carlo Simulation (MCS) method served as a standard for judging the accuracy of the expected UDR outcomes. In every instance, the anticipated outcomes of the UDR were attained with significant time savings in comparison to the approach taken by the MCS, and the results of the UDR demonstrated a good match with the strategy taken by the MCS.
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