3.1. Spatial and Temporal Congestion Dynamics in High-Renewable Grids
Transmission network congestion fundamentally reflects physical capacity limits under fluctuating power flow patterns induced by renewable generation. In post-reform electricity markets, market-based congestion management mechanisms seek to align dispatch schedules with physical line ratings to prevent thermal overloading and voltage instability [1]. When large-scale Power-to-X assets and bidirectional flexible loads are integrated into transmission and distribution topologies, their operational profile introduces dual systemic effects [2]. On one hand, strategically sited conversion facilities absorb excess renewable power during peak production periods, directly providing load leveling and peak shaving functions that relieve heavily stressed transmission corridors [2]. On the other hand, uncoordinated conversion dispatch driven solely by wholesale price signals can induce secondary demand peaks, creating new localized bottlenecks across previously unconstrained network segments [1], [6]. Resolving this tension necessitates architectural coordination between transmission and distribution system operators, flexibility aggregators, and conversion asset operators via integrated digital energy service platforms [6]. Without dynamic, locational flexibility procurement mechanisms, market signals remain detached from real-time physical transmission constraints, undermining the potential of Power-to-X technologies to serve as reliable congestion relief assets in restructured power systems [1], [6].