Abstract: The method for determining mutual voltage sensitivity coefficients between a plurality of measuring nodes of an electric power network does not rely on knowledge of the network parameters (for example: series conductance and susceptance of the branches, shunt conductance and susceptance of the nodes, etc.). The method uses a monitoring infrastructure including metering units at each one of the measuring nodes, and includes a step of measuring at the same time, at each one of the measuring nodes, repeatedly over a time window, sets of data including values of the current, the voltage, and the phase difference, a step of computing active power, reactive power and values from each set of measured data, and a step of performing multiple parametric regression analysis of the variations of the voltage at each one of the measuring nodes.

Abstract: Disclosed is a method for identifying the topology of an electric power network allows for the automatic and efficient identification of network topology without the knowledge of network parameters. The method is based on the estimation of mutual current sensitivity coefficients and on an algorithm to obtain the network incidence matrix from the estimated sensitivity coefficients. This algorithm is based on the general assumption that the metering unit that is the most sensitive to the variations of the measured current in a branch connected to a particular node is the metering unit that is arranged at the physical node immediately upstream form the particular node. The method effectively considers the presence of noise in the measurements and its time correlation.