Summary

This paper presents a methodology, applied within the Horizon Europe and UKRI-funded

HVDC-WISE project, to identify a sub-set of cases, representative of operating conditions from a full-year (8760-hour) technoeconomic dispatch simulation. The use case considers a mainland

European power system, with a high-resolution model focused on the German system, in the mid-2040s. The goal is to support case selection for N-1 static and dynamic security analysis, and cascading failure resilience studies, relevant to a grid with a high penetration of HVDC links and other power electronic devices. Through feature engineering and iterative clustering and sub-clustering, the analysis is complemented with the development of a clear narrative around how certain hours can be grouped and why individual hours chosen from those groupings are suitably representative of key system conditions of interest for further study in the security and resilience domains.

Additional informations

Publication type Session Materials
Reference C1_12551_2026
Publication year
Publisher CIGRE
Country Ireland
Study committees
File size 2 MB
Price for non member 30 €
Price for member 30 €

Authors

MCNAMARA Paul - EPRI; PAZ Benjamin - EPRI; THAMS Simon - TWTH Aachen; VAN DER STRAETEN Michael - Amprion

Keywords

Scenario selection, clustering, HVDC, technoeconomic, planning, security, resilience. Introduction

Clustering-Based Selection of Representative Hours for security and resilience analysis-mainland European use case