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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...
This paper introduces a neuro-based branch's current state estimator for distribution networks in which a limited set of real-time data is available. This estimator employs inverse principle component analysis (IPCA) method. Using the IPCA method leads to some proper models devised so that the distribution network becomes observable and then load estimation will be possible. By determining load consumption...
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