Aggregated Three-Phase Photovoltaic Inverter Model with Sandia Frequency Shift Islanding Detection

Abstract

Aggregated models of inverters have previously been proposed to represent the reality of bulk power systems where high penetration of photovoltaic (PV) inverters is present. High penetration can affect dynamics of electric power system (EPS) in general and power quality especially during peak solar hours where PV inverters will tend to dictate the performance of EPS. In this work, an approach for evaluating a multi-inverter aggregated model for islanding detection application is taken. A system of parallel-connected inverters is modeled as a single aggregated inverter model. The objective is to study the effects of scaling (aggregation) of this PV inverter model to the islanding detection method, in this case the SFS.