Data-driven Model-free Hosting Capacity Estimation in a Low Voltage Prosumer

Abstract

Currently, distributed generation systems have been proposed as a way to increase the energy potential of the countries introducing them, however, the entry of this new form of energy generation can cause some negative effects on the correct operation of the distribution network, one of these negative effects are the overvoltages that can exceed the levels allowed by the local operator. For this reason, it is necessary to limit in some way the injection of distributed generation into the grid. This parameter has been called Hosting Capacity, which is a new parameter developed to limit the power coming from distributed sources while maintaining the proper functioning of the grid. Many studies have been developed to define and calculate the Hosting Capacity, mainly based on scenario simulations, however, these need detailed and accurate network models which at low voltage levels is very difficult to have. The present work focuses on determining a Hosting Capacity value in a node at low voltage using values taken from a smart meter, the methodology uses a regression model considering voltage and power consumption values at the point. The results show a good approximation of Hosting Capacity validated through a network model of the connection node obtaining voltage values close to the limit, but lower than it, which allows the conclusion that the planted methodology is useful for the calculation of Hosting Capacity without the need for having a network model.