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This paper introduces an original and rigorous formulation for computing the unbalance and distortion components of phase and neutral currents in the framework of the symmetrical component transformation. The proposed formulation extends recent literature results, in which different matrices were used for unbalance characterization in the presence of distorted waveforms and provides, at the same time, an innovative interpretation of the neutral current waveform components. New indicators are also defined to combine the effects of unbalance and waveform distortion, extending the set of indicators currently adopted in the power-quality standards. A set of illustrative examples is presented to show the applicability of the proposed approach. These include four circuits, two real-case applications, and an example taken from the IEEE trial-use standard 1459-2000.

This paper deals with the classification of the electricity customers for building up dedicated tariff structures based on their electrical behaviour. Starting from the results of field measurements, the load patterns are characterised by a set of indices representing the shape of the load curves. An automatic clustering algorithm is used to form the customer classes. Each customer class is then represented by its load profile. The load profiles are used to study the margins left to the utility company for fixing dedicated tariffs to each customer class, according to new rules introduced in the liberalised electricity market, which increase the flexibility in the definition of the tariffs under imposed price caps. Results of a case study performed on a set of Customers of a distribution company are presented.