Computing static state of linear electrical networks using iteratively weighted least squares algorithm

In this paper a new approach for static state estimation of linear DC circuits using iteratively weighted least squares algorithm is discussed. Three cases of erroneous meter readings while measuring currents and voltage in a simple voltage divider circuit are considered for illustration. Large size of electrical networks limits the number measurements available for state estimation. With limited real time measurements and most of the times with pseudo-measurements usually with large error margins are often used instead. This work highlights the method of processing measurement errors in estimating the static state of a linear DC electrical network. The work also highlights the importance of having accurate physical topology modeling of the network and to have known standard reference to estimate magnitude of errors and identify faulty meters. With increase in non-technical losses in T&D systems there is ever increasing chance of technical losses, state estimation can be a very useful tool in minimizing both technical and non-technical losses in the T&D process.