Modeling load uncertainty in distribution network monitoring

In this paper we describe an analytical method for estimating uncertainty in distribution loads, with applications to network monitoring and optimal meter placement. Our model works by assessing the impact of consumption aggregation from customers of different types, in order to determine the mean and variance of loading profile in each distribution transformer in the network. Such parameters are then adjusted by correlating with real-time information taken from the supervisory control and data acquisition system. Studies have been conducted on actual data to verify the proposed model and show its application for the optimal meter placement in distribution networks.