Wiegel, BélaBélaWiegelSchug, TizianTizianSchugTeimourzadeh Baboli, PayamPayamTeimourzadeh BaboliBecker, ChristianChristianBecker2025-07-082025-07-082025-05ETG-Kongress 2025978-3-8007-6495-2978-3-8007-6494-5https://hdl.handle.net/11420/56142The transition towards decentralized energy systems, driven by the integration of distributed energy resources (DERs), presents significant challenges for grid flexibility and operational planning. In this paper, a novel digital twin-driven optimization methodology is introduced for real-time flexibility provision in decentralized energy cells. By using dynamic simulation models, the proposed approach disaggregates centralized load requests into component-specific signals tailored to Electric Heat Pumps (EHPs) and Battery Electric Storage Systems (BESSs). A two-stage framework is proposed: a preparation phase, where dynamic system behaviors are analyzed and linearized to create simplified gray-box models for optimization, and a provision phase, where optimized control signals are generated to meet realtime flexibility demands. A case study demonstrates the effectiveness of the methodology, highlighting the capability to manage diverse DERs under varying conditions. The results underscore the potential of digital twin-driven frameworks to enhance grid stability and support the evolving needs of decentralized energy systems.en0341-39342025VDE VERLAG GMBHTechnology::600: TechnologyConference PaperConference Paper