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Multi-level optimization and Cloud - Edge management of optimal control processes in power systems

Technological challenge: Smart Energy grids (learn more)

Department: Département des Technologies Solaires (LITEN)

Laboratory: Laboratoire Systèmes Electriques Intelligents

Start Date: 01-09-2022

Location: Grenoble

CEA Code: SL-DRT-22-0646

Contact: hugo.joudrier@cea.fr

Operate and optimize power grids requires decisions to be made on two levels: the transmission network at the top (Cloud), the point of production/consumption at the bottom. It requires that a lot of information flows between these two layers. In this thesis we want to study the impact of an intermediate level of control (Edge), at the level of a distribution network. This topic anticipates future needs such as the increasing heterogeneity of the network: a growing number of producers/consumers of different types of energy (PV, Wind, Biomass, SMR, electric vehicle charging stations, etc.). Such an evolution will lead to an increasing number of variables in the centralized optimization model that is used to perform the optimal production/consumption planning of the network. This complexity will not allow to obtain an optimal solution in a reasonable time and will be coupled with a massive increasing of information flows. The addition of an intermediate layer will limit the information flow through the network and will allow production planning to be performed at the different levels: 1) Transport network (Cloud): aggregated models and large time steps. 2) Distribution networks (Edge): intermediate granularity models and small time steps. 3) Point of production/consumption: detailed models and small time steps.

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