The evolution of power systems, especially at the distribution level for the increasing diffusion of new energy sources and new loads, makes urgent the need of updated models of the electrical behavior of LV customers. For this purpose, time series of consumption and generation have to be properly modeled to represent for instance, among the other goals, the impact of demand coincidence and of generation-load homotheticity. Despite the increasing diffusion of Smart Meters that could be used for producing more accurate and updated models, the current load profiling practices, neglect the actual variability among consumption habits of customers belonging to the same category. This paper proposes a method for clustering load profiles of LV customers, derived from two recent measurement campaigns in Italy, with the aim of finding updated typical load profile curves for different category of LV customers can be used in planning and operation studies. The comparison of the results obtained by applying the method to two available databases has been discussed.

Updated Typical Daily Load Profiles for LV Distribution Networks Customers

Pilo F.;Pisano G.;Troncia M.
2019-01-01

Abstract

The evolution of power systems, especially at the distribution level for the increasing diffusion of new energy sources and new loads, makes urgent the need of updated models of the electrical behavior of LV customers. For this purpose, time series of consumption and generation have to be properly modeled to represent for instance, among the other goals, the impact of demand coincidence and of generation-load homotheticity. Despite the increasing diffusion of Smart Meters that could be used for producing more accurate and updated models, the current load profiling practices, neglect the actual variability among consumption habits of customers belonging to the same category. This paper proposes a method for clustering load profiles of LV customers, derived from two recent measurement campaigns in Italy, with the aim of finding updated typical load profile curves for different category of LV customers can be used in planning and operation studies. The comparison of the results obtained by applying the method to two available databases has been discussed.
2019
978-1-7281-3087-3
ancillary services market; distribute energy resources; flexibility; scheduled profile; TSO/DSO interface
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/282593
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