Résumé

Among the issues distribution system operators are anticipating today, the management of peak loads is at the forefront. This problematic has repercussions on the dimensioning of the network infrastructure that must support these peaks, consequence of the deployment of distribution energy resources like solar panels, or the introduction of future consumption needs driven by the electrification of the energy system. In answer to this problematic, leveraging the electrical flexibility of end-customers mixing consumption and production profiles is considered particularly promising to avoid the oversizing of the grid infrastructure or the use of dimensioning cases too strict for connecting new end-customers to the grid. To determine the flexibility shares the DSOs can use as leeway for the grid management, the end-customers’ load profiles made available by the deployment of advance metering infrastructure are leveraged, in combination with the data obtained from the DSOs’ geographical and network information systems. Utilizing the deployment of their advance metering infrastructure, Groupe E initiated a data-driven project analyzing the load profiles in a typical low-voltage distribution grid covering 269 distinct end-customers. These end-customers present combinations of profiles mixing baseline residential consumption, particular non-standard consumption (heat pumps, electrical vehicles) and production (photovoltaic) profiles. Based on this data, a methodology has been proposed to identify critical loci in time and location where the grid infrastructure reaches its load limits and targets select impacted end-customers for the activation of flexibility lowering in return the peaks critical for the infrastructure. The methodology follows a data-oriented approach to (1) identify the flexibility shares in the grid where the activation improves the load on the infrastructure using the load profiles and (2) propose a flexibility controlling strategy benefiting the grid infrastructure with the analysis of the effects of this strategy on the grid infrastructure and the impacted end-customers.

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