Developing a Benchmark Grid Model for Future Congestion Management and Stability Analysis
Fabian Meißner, Tobias Sous, Christian Ziesemann, Peter Wirtz, Florian Klein-Helmkamp, Albert Moser · 2024
The electrical power system is experiencing significant structural changes driven by evolving generation and load dynamics. These transformations necessitate robust grid models to address challenges in congestion management and stability assessment. However, access to high-quality grid models is often limited, particularly in terms of available time series data and technical information on operating devices, thereby constraining the scope of extensive simulations and optimization efforts. This paper presents the development of a benchmark grid model designed to overcome these limitations. The proposed model features a sufficiently large grid size, characteristic grid areas, and a future-oriented scenario. It incorporates a high number of interrelated grid utilization cases, allowing the consideration of annual seasons and the consideration of temporal coupling constraints such as power plant ramp-up and ramp-down gradients. This benchmark grid model is poised to support advanced investigations into future congestion management, curative grid operation, and stability analyses, providing a valuable tool for researchers and practitioners in the field.