Project Details
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Development of Innovative Technologies and Tools for Flexibility Assessment and Enhancement of Future Power Systems

Subject Area Electrical Energy Systems, Power Management, Power Electronics, Electrical Machines and Drives
Term from 2019 to 2024
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 405813701
 
Final Report Year 2023

Final Report Abstract

The operational flexibility of electric power systems is central to balancing discrepancies between load and non-dispatchable generation in both the long and short term. This adaptability is the foundation for the reliability, security, and economic efficiency of modern smart energy infrastructures. The rise of renewable energy sources with fluctuating yields reinforces the call for this flexibility. At the same time, the downsizing of traditional power plants is reducing the primary sources of this flexibility, necessitating the exploration of new pathways. In today's power system simulations, there is an inconsistency in flexibility modeling. While transmission grids often model distributed flexibility in general terms, ignoring the intricacies of the distribution grid level, the opposite is true for distribution grids. Here, the focus of flexibility activation remains local and ignores broader system needs or constraints. Moreover, a single source of flexibility typically serves only one application and not several simultaneously. To overcome this dichotomy, there are efforts to design a distributed flexibility model. In contrast to the existing models, which neglect a voltage-independent flexibility deployment, an integrated framework is to be created. This new framework aims to quantify flexibility from both a granular and holistic perspective. A particular focus in this context lies on bottom-up modeling of flexibility. Here, different deployment goals can be mapped by retrieving flexibility at different aggregation levels. Such models are of great importance for mapping possible future energy systems and are the basis for today's planning of tomorrow's energy infrastructure. A multi-layered view of distributed flexibility helps to limit grid expansion needs, optimize power plant capacity planning, and rationalize energy markets and set the right investment incentives. As part of the project, the electric asset landscape, and therefore the flexibility landscape, was modeled for the target year 2050. For this purpose, a methodology for regionalizing the plant distribution down to NUTS3 was developed and applied. Furthermore, a specific implementation for energy management systems as well as plant-specific flexibility potentials was modeled, developed and integrated into an agent-based simulation environment. By bottom-up modeling of flexibilities, it was possible to analyze their local potential within the distribution grid as well as their potential at the interface of distribution and transmission grid.

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