Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI

Market-driven HVDC flows create predictable frequency problems: The study found that when HVDC links operate based on market prices rather than grid stability needs, they introduce consistent frequency deviations across European power grids—but these problems can be substantially reduced by implementing strict limits on how quickly power flows can change.

How HVDC links are controlled fundamentally changes their impact: The research demonstrates that the same HVDC infrastructure can either stabilize or destabilize the grid depending on its operational mode, meaning that policy decisions about control strategies are as important as the physical infrastructure itself.

Explainable AI revealed hidden interactions: By using machine learning methods designed to show why they reach conclusions, researchers identified critical dependencies between HVDC flows and frequency stability that traditional analysis might have missed—highlighting the value of interpretable AI for complex infrastructure decisions.

Fast-acting power transfers need careful governance: HVDC links' ability to quickly move power between regions is valuable for managing renewable energy volatility, but this same speed can create unintended frequency disturbances if not properly regulated, requiring coordination between market operators and grid operators.