Accelerating grid connection approval through semi-automated grid code compliance testing of RMS and EMT models using Energinet’s MTB toolbox

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Authors: Casper V. Lindgaard, Mathias B. B. Kristensen, Sebastian B. Sørensen, Peter Jan Randewijk
Cited by: 0

Abstract

This paper presents a semi-automated approach for accelerating grid connection approval by streamlining grid code compliance testing of steady-state, dynamic (RMS) and electromagnetic transient (EMT) simulation models, utilising Energinet's Model Test Bench (MTB). As the integration of new generation sources intensifies, regulatory bodies demand rigorous model validation aligned with European and Danish grid codes. The MTB significantly reduces manual workload by automating the execution of comprehensive test suites in DIgSILENT PowerFactory for RMS models and PSCAD/EMTDC for EMT models, thereby minimising inconsistencies and improving reliability. Skilled grid connection engineers can efficiently leverage the MTB to perform grid code compliance assessments, meeting the requirements outlined in EU 2016/631 RfG, Danish Grid Codes, and Energinet's own RfG Appendix B for model criteria or even other regulations and requirements, if adjusted accordingly. The toolbox supports the aggregation of multiple generation assets into representative models and ensures robust documentation of modelling methodologies. This automation facilitates both Interim and Final Operational Notification processes, empowers stakeholders to demonstrate regulatory adherence, and enhances the transparency and effectiveness of grid integration procedures. The approach outlined contributes to a more adaptive and responsive power system, supporting the transition towards sustainable energy generation while maintaining grid security and operational standards.

Fields of Study & Subjects

Power Systems and Technologies Power Systems and Renewable Energy Real-time simulation and control systems

Publication details

Journal / source
IET conference proceedings.
Volume
2025
Issue
45
Pages
498–506
Publication date
1 March 2026
Language
EN