Developing a Benchmark Grid Model for Future Congestion Management and Stability Analysis

IEEE PES Innovative Smart Grid Technologies Europe, pp. 1–5

Abstract

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.

Authors 6

1. Fabian Meißner Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany

2. Tobias Sous Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany

3. Christian Ziesemann Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany

4. Peter Wirtz Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany

5. Florian Klein-Helmkamp Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany

6. Albert Moser Aachen

   RWTH Aachen University

   Affiliation as printed

   IAEW RWTH Aachen University,Aachen,Germany