About

I am a Ph.D. researcher at KU Leuven and EnergyVille working on risk-aware decision support for power system operation under uncertainty.

My work focuses on how uncertainty in renewable generation affects congestion management and balancing, and on developing methods that make this uncertainty directly usable in operational decision-making.

Research

Modern power systems are increasingly shaped by uncertainty from renewable generation, demand variability, and market behavior. This uncertainty links congestion management and real-time balancing decisions, although they are still often treated separately in practice.

My research develops stochastic optimization frameworks that treat this coupling explicitly. The goal is to enable operators and planners to manage costs and risks jointly, rather than sequentially, while accounting for uncertainty in a continuous and realistic manner.

A central methodological component is the use of Polynomial Chaos Expansion for non-Gaussian uncertainty propagation. This allows tractable formulations of risk-aware optimization problems, including CVaR-based objectives, without relying on large sets of discrete scenarios.

Approach and methodology

I work at the boundary between theory and application. The formulations I develop are mathematically rigorous, but designed from the outset to be computationally tractable in operational settings.

A key focus is on how the structure of uncertainty — including distribution shape and correlations — affects decision quality and system costs. Rather than simplifying uncertainty, I develop methods that preserve these characteristics and make their impact on decisions explicit.

My work also considers hybrid AC/DC grids, analyzing how HVDC controllability influences congestion patterns and operational flexibility.

Perspective

A central aspect of my work is not only to model uncertainty, but to quantify how it affects decisions.

Rather than treating uncertainty as an abstract input, I focus on understanding how probabilistic forecasts propagate into congestion management actions, redispatch decisions, and balancing requirements. This provides a transparent link between uncertainty and operational outcomes, enabling more informed and risk-aware decision-making.

Methods and tools

Affiliations

I am a doctoral researcher at KU Leuven and affiliated with EnergyVille through the Energy Transmission Competence Hub (Etch), which focuses on research and development for future electricity transmission systems.