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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 6: Poster
SOE 6.7: Poster
Montag, 16. März 2020, 17:00–20:00, P2/4OG
Analysis and control of multilayer, multi-timescale power grids — Lia Strenge1, •Paul Schultz2, Jörg Raisch1, and Frank Hellmann2 — 1Potsdam Institute for Climate Impact Research (PIK), 14473 Potsdam, Germany — 2Control Systems Group, Technische Universität Berlin, Germany
Power systems are subject to fundamental changes due to the increasing infeed of decentral renewable energy sources and storage. The decentral nature of the new actors in the system requires new concepts for structuring the grid, and achieving a wide range of control tasks ranging from seconds to days. Here we introduce a multilayer dynamical network model covering all control time scales. Crucially we combine a decentral, self-organised low-level control and a smart grid layer of devices that can aggregate information from remote sources. The stability-critical task of frequency control is performed by the former, the economic objective of demand matching dispatch by the latter. Having both aspects present in the same model allows us to study the interaction between the layers. Remarkably we find that adding communication in the form of aggregation does not improve the performance in the cases considered. Instead the self-organised state of the system already contains the information required to learn the demand structure in the entire grid. The model introduced here is highly flexible, and can accommodate a wide range of scenarios relevant to future power grids. We expect that it will be especially useful in the context of low-energy microgrids with distributed generation.