Modelling of pseudo-measurements for distribution system state estimation

The main particularity of distribution system state estimation is the lack of real-time measurements. In order to establish the state estimation function, pseudo- measurements need to be introduced. As there is generalised uncertainty in the power demand, the load characteristics can be utilised to appropriately model the pseudo-measurements. This paper proposes two new approaches for modelling pseudo-measurements for the purpose of distribution system state estimation; the first is based on correlation and the second is based on load probability density functions.