Comprehensive Evaluation of Novel Light-QP and Statistical-QP Methods for Supraharmonic Disturbances from EV Chargers

In the coming years, the electric vehicle charging station (EVCS) will be massively deployed in the low-voltage (LV) grid. It is widely known that these inverter-based devices inject supraharmonic disturbances (9-150 kHz) in the LV grid, which are harmful to other equipment connected to the grid; therefore, the proper assessment of these distortions becomes essential. The CISPR 16 measurement method is the only standardized procedure in this band, but only for EMC purposes in laboratory conditions, requiring a specific setup not feasible in grid measurements. Recently, the Light Quasi-Peak (Light-QP) and Statistical Quasi-Peak (Statistical-QP) measurement methods have been proposed for the quantification of supraharmonic disturbances. In this work, the performance of these methods is evaluated in detail when they are applied to assess conducted disturbances from EVCS. For this purpose, a dataset of recordings taken in the point of connection of EVCS has been used to develop a statistical analysis of the results with respect to the CISPR 16 standard. A comparison of the computational burden for all the methods is also performed. Results show that the differences are below the 10 %, which is the maximum uncertainty value required by IEC 61000-4-30 for power quality instruments, and that the dispersion of the differences is within the range of a few mV, which indicates that the Light-QP and Statistical-QP methods provide results very close to those obtained by CISPR 16. Moreover, the novel methods require less memory and computational resources than the CISPR 16 standard.