Data-based harmonic impact quantification of multiple loads in a real medium-voltage network

This paper analyses a method to quantify harmonic contribution of multiple loads in a real medium-voltage network. The objective is to quantify the contributions of the individual subquarters of the Campus Lichtwiese of TU Darmstadt to the overall distortion using measurement data recorded in the network. The basis is provided by the Harmonic Impact Index, that can be developed with a data-driven approach and is a suitable method to quantify the harmonic contribution of more than two parties. Mathematically, this index is based on Partial Least Squares regression, which is briefly introduced. Moreover, an improvement of the regression is presented in this paper. By taking time-synchronised angle measurements into account, the accuracy of the regression model can be enhanced.