Impact of Data-Driven Modelling Approaches on the Analysis of Active Distribution Networks

Abstract

Scope of this paper is to investigate the effect of different load and distributed generation (photovoltaic systems and wind generators) modelling approaches for the steady-state analysis of distribution networks and the development of ancillary services by system operators. Specifically, five different modelling approaches are considered, based on different assumptions. The power flow problem is solved by applying the examined models to the 33-bus benchmark distribution network and the derived results are statistically analyzed. The accuracy, reliability and performance of the models is evaluated in terms of the calculated voltages, power losses and computational burden.