Curative measures identification in congestion management exploiting temporary admissible thermal loading of overhead lines

IET Generation Transmission & Distribution, vol. 16, pp. 3171–3183

Abstract

Abstract This paper demonstrates how to consider thermal reserves of overhead lines in optimization problems for congestion management with preventive (pre‐fault) and curative (post‐fault) actions effectively to ensure N‐1 security. Solving congestions curatively allows for higher base loadings and reduced congestion management volumes. At the same time, assets are exposed to higher risks of damage. The two proposed methods incorporate precise permanent and temporary admissible loading constraints for base and contingency situations already at the operational planning stage. The methods ensure that conductor temperatures stay below the assets’ thermal limits at all times. The benefits of exploiting thermal reserves are analyzed in a case study to the future German transmission grid of 2030.

Authors 9

1. Katharina Kollenda corresponding Aachen Institute for High Voltage Equipment and Grids

   RWTH Aachen University

   Affiliation as printed

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics RWTH Aachen University Aachen Germany

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, Aachen, Germany

2. Alexander B. Schrief Aachen Institute for High Voltage Equipment and Grids

   RWTH Aachen University

   Affiliation as printed

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics RWTH Aachen University Aachen Germany

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, Aachen, Germany

3. Charlotte Biele

   TU Dortmund University

   Affiliation as printed

   Institute of Energy Energy System, Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany

   Institute of Energy Energy System, Energy Efficiency and Energy Economics, TU Dortmund University, Dortmund, Germany

4. Martin Lindner

   TU Dortmund University

   Affiliation as printed

   Institute of Energy Energy System, Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany

   Institute of Energy Energy System, Energy Efficiency and Energy Economics, TU Dortmund University, Dortmund, Germany

5. Niklas Sundorf
   Affiliation as printed

   Amprion GmbH Dortmund Germany

   Amprion GmbH, Dortmund, Germany

6. André Hoffrichter
   Affiliation as printed

   Amprion GmbH Dortmund Germany

   Amprion GmbH, Dortmund, Germany

7. Andreas Roehder
   Affiliation as printed

   Amprion GmbH Dortmund Germany

   Amprion GmbH, Dortmund, Germany

8. Albert Moser Aachen Institute for High Voltage Equipment and Grids

   RWTH Aachen University

   Affiliation as printed

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics RWTH Aachen University Aachen Germany

   Institute for High Voltage Equipment and Grids, Digitalization and Energy Economics, RWTH Aachen University, Aachen, Germany

9. Christian Rehtanz

   TU Dortmund University

   Affiliation as printed

   Institute of Energy Energy System, Energy Efficiency and Energy Economics TU Dortmund University Dortmund Germany

   Institute of Energy Energy System, Energy Efficiency and Energy Economics, TU Dortmund University, Dortmund, Germany