EDF is the major French multinational electric utility company owned by the French state. Our collaboration is part of the EDF-Inria Challenge, and specifically a project titled “Decomposition algorithms for solving generation expansion planning problems”.
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The expansion planning (EP) problem in energy systems optimization aims to determine long-term investment decisions while ensuring the feasibility of short-term system operations. Long-term (investment) decisions include capacity expansion, asset decommissioning, and lifetime extension, whereas short-term (operational) decisions concern generation scheduling, which must satisfy the supply–demand balance subject to technical and network constraints.
This presentation addresses EPs from two complementary angles. First, after a “brief” review of the literature on EP and an introduction of our case of study, we present the European Resource Adequacy Assessment (ERAA) dataset, which, combined with complementary sources such as RTE reports (e.g, Futurs énergétiques), provides a basis for generating realistic EP instances. Second, we focus on the solution method, namely Benders decomposition, which is widely used to solve such problems. In particular, we examine how to select a cut, among a set of candidates, to separate a given master problem’s solution. We review several cut selection policies from the literature, along with the properties a cut may satisfy, and discuss how these properties relate to convergence and computational performance. We conclude with a numerical analysis based on instances generated from the ERAA dataset, assessing the impact of different cut selection strategies on the performance of the Benders decomposition algorithm.
[Read more]An energy community (EC) is a legal entity involving prosumers and consumers who produce, consume, and exchange energy. The members of these communities can cooperate to maximize the community’s social welfare. In practice, this naturally raises the question of cost sharing in the community, as the members may have different contributions to social welfare. In this presentation, we empirically highlight the benefits of cooperation for the community and the individual members. Then, we present some cost-sharing mechanisms that guarantee fairness and the stability of the grand coalition composed of all prosumers and consumers. Finally, we present some results on instances built with real-world data from our partner Sween’s demonstrator, Smart Lou Quila, in South France.
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We are happy to announce that Mariam Sangare has joined our team as a postdoctoral researcher. Mariam will work on the EDF-Inria Challenge on generation expansion planning problems. Prior to her arrival in the team Mariam has completed her PhD thesis at University of Montpellier under the supervision of Michael Poss.