Categorisation of Low-Voltage Three-Phase Electricity Users

The categorisation of the electricity users is carried out by using statistical analysis of the available data over a period of analysis, together with clustering techniques to create appropriate groups of consumers. The grouping is affected by the selection of the macro-categories based on general user's attributes. This paper introduces the novel notion of internal categories for each macro-category. The main aspects referring to the selection of the user internal categories are analysed within an integrated framework that uses two-dimensional features (i.e., reference power and monthly energy) and a clustering algorithm with a consensus-based procedure for the final categorisation. The partitioning into internal categories enables reducing the number of users to be considered together for load profiling purposes. The results are presented considering real data obtained over one year for a large set of low-voltage three-phase electricity users.