Regression Analysis-Based Load Modelling for Electric Distribution Networks

The decision making in the electric distribution systems is based on data collected from consumers and the various measurement points located in the network (transformer substations, supply points, branch points, etc.). The information obtained from a 100% integration of the smart metering to consumers comes to fill the data acquired through the Supervisory Control and Data Acquisition (SCADA) system, so that the Distribution Network Operator (DNO) can accurately estimate the state of the supervised system. However, the implementation of smart metering is in various implementation stages in different countries of the world, so that today it can be stated that there is no complete integration. The same aspect should be emphasized in the case of the SCADA system at the level of distribution networks, which is not 100% integrated in the low/medium voltage electric substations. In these conditions, the DNO should apply the mathematical tools that take into account the similarities between the consumers’ behaviour and respectively the structure of the load supplied from the electric substations. The regression analysis-based approaches for the load modelling from the nodes of electricity distribution networks were treated in the chapter. The approaches refer to the estimation of the required powers in the supply points with a mixt structure of the load (i.e. residential, commercial, and industrial) at the hour when the maximum value of the load is recorded and the demand of residential consumers which represent the highest percentage from the load structure fed from the electric substations. The proposed approaches were tested in real operation conditions of the distribution networks from Romania.