February 2023

In the context of team Cornet’s seminars, Panagiotis Andrianesis (Boston University) will present his research work on Optimal Distributed Energy Resource Coordination: A Hierarchical Decomposition Method Based on Distribution Locational Marginal Costs, on February 23, 2023, at 11:35 in the meeting room. Abstract: In this work, we consider the day-ahead operational planning problem of a radial distribution network hosting Distributed Energy Resources (DERs) including rooftop solar and storage-like loads, such as electric vehicles. We present a novel hierarchical decomposition method that is based on a centralized AC Optimal Power Flow (AC OPF) problem interacting iteratively with self-dispatching DER problems adapting to real and reactive power Distribution Locational Marginal Costs. We illustrate the applicability and tractability of the proposed method on an actual distribution feeder, while modeling the full complexity of spatiotemporal DER capabilities and preferences, and accounting for instances of non-exact AC OPF convex relaxations. We show that the proposed method achieves optimal Grid-DER coordination, by successively improving feasible AC OPF solutions, and discovers spatiotemporally varying marginal costs in distribution networks that are key to optimal DER scheduling by modeling losses, ampacity and voltage congestion, and, most importantly, dynamic asset degradation.

In the context of team Cornet’s seminars, Sébastien De Valeriola (Free University of Brussels) will present his research work on “Fading Footprints in the Sand”: Analysis of Historical Networks and Robustness of Centrality Metrics, on February 10, 2023, at 11:35 in the room S6. Abstract: In this presentation, we consider centrality measures in their use in the analysis of historical networks. Since the sources used by historians to construct such networks are inherently incomplete and imperfect, it is necessary to take into account the robustness of these metrics as much as possible, i.e., their stability in the face of the vagaries that time has subjected historical documents to. To study this, we apply a battery of tests to three networks constructed from medieval history data. The first is a network of political history, representing the connections among the key figures in the conflict for the episcopal seat of Cambrai in the 11th century. The second is a network of socio-economic history, describing credit relationships among merchants in Ypres in the 13th century. The third is a hagiographical network depicting the connections between the lives of saints often compiled together in manuscripts. These tests are designed to simulate the processes of Plus d'infos