Smart electrical grids today are increasingly integrating new technologies such as electric vehicles, smart metering, and demand side management. They aim to promote the use of renewable energy sources and better energy saving. The ever growing presence of power electronics interfaces, for example photovoltaic panels, batteries, or direct current loads in the power system makes it more vulnerable to power quality issues. The paper aims to create an overview of the existing power quality disturbances in traditional as well as smart grids. The other main objective of the paper is to discuss the techniques to measure and detect supraharmonic emissions in smart grids. The paper also describes the measurement parameters and configurations in smart grid platform in order to analyse the dynamic conditions. This platform is an advanced test facility designed and developed to facilitate the transition from traditional to smart grids. The paper studies the existing power quality disturbances and identified supraharmonic emissions as field of interest. It also presents the design and initial tests conducted on a measurement system for supraharmonics. The parameters and configurations to be performed during the measurements in the smart grid platform are also discussed.

This paper describes the design of the measurement system for supraharmonic emissions in the frequency range 2-150 kHz in real grid scenarios and factors considered for design. It also portrays the validation of the measurement system on a smart grid platform and the design of experiments performed on this platform. Various network combinations and factors considered for real grid measurements are described in the paper.

This paper describes the design of a measurement system for supraharmonic emissions in the frequency range of 2 to 150 kHz, and analyzes the measurements obtained in real grid scenarios. The measurement system is first characterized in the laboratory. The Design of Experiment approach then uses an adequate number of experiments to identify the effects and interactions of factors responsible for supraharmonic emissions. For each of these experiments, the measured supraharmonic emissions are analyzed and quantified using the fast Fourier transform. Next, this data is studied using the Analysis of Variance method, which enables identifying the critical factors that generate supraharmonic emissions in the network. The measurement and analysis results show the individual effects and interactions between these factors.