Measurements and pseudo-measurements in distribution networks

The subject of this paper is application of short-term and long-term monitoring of currents on a small number of measuring positions aimed at obtaining a picture of state (currents and voltages) in an overall distribution network. For the state estimation within a longer time period, the Monte Carlo method is used. Quasi-statistical data of loads of consumer nodes are obtained by modeling of a real course of the hours change process of the load current. The results are corrected by means of measured indices of power values on small number of measuring positions. This calculation is done respecting a stochastic nature of load of consumer nodes and estimation of node voltages and currents in network sections. The proposed methodology is tested on a part of the real-life distribution network. The usage of permanent measurement of the section current increases the quality of state estimation in the distribution network.