Parametric identification of a distribution network as part of ASCME

Modern automatic electricity metering systems (AEMS) are mainly designed to collect data from electronic meters used by the consumers served by a local electricity grid (LEG) and to account electricity commercially. At the same time, if significant improvements in the technical and economic performance of these systems and distribution companies are to be made, it is appropriate complement AEMS with new subsystems designed to perform real-time monitoring, diagnose the condition of the three-phase network, and optimize their operating modes. Creating methodological and algorithmic bases for their construction often necessitates knowledge of such LEG parameters that depend on the resistance of the mainline in its inter-consumer sections. In this respect, the paper dwells upon the problem of identifying them in real time. It is assumed that the network operates under conditions of unbalanced currents and voltages, and the cross-sections of phase and neutral conductors are different. The proposed parameter (resistance) identification method is based on modeling the physical processes in the electric circuits of the network, complemented by evaluating the physically immeasurable and uncontrollable varieties that specify the current electric state of the inter-consumer sections of a three-phase grid. To solve the identification problem, we’ve generated systems of linear algebraic equations are obtained. We herein describe the computational procedures for solving those equations analytically and numerically. The proposed LEG parameter identification method can be used to developed special software for the functional AEMS subsystems designed to diagnose the current state of the functional LEG components as well as to identify and monitor electricity losses in real time.