Innovation
Bringing risk-aware decision support closer to power system operation.
The methods developed in my research are designed with operational use in mind. The goal is not only to model uncertainty, but to translate it into decisions that can support congestion management and balancing in real systems.
Rather than relying on simplified assumptions, this work focuses on representing uncertainty realistically and quantifying how it affects operational decisions. This enables operators and planners to understand not only expected outcomes, but also the associated risks and trade-offs.
Directions of interest
Congestion management under uncertainty
Decision-support approaches that make the risk–cost trade-off explicit, allowing operators to manage congestion without relying on overly conservative assumptions.
Risk-aware redispatch planning
Optimization frameworks that account for the probabilistic nature of system constraints, providing insight into both expected costs and the distribution of outcomes.
Balancing risk management
Approaches that quantify real-time balancing exposure at the planning stage, linking day-ahead and intraday decisions through a consistent uncertainty representation.
Uncertainty-aware operational planning
Frameworks that treat uncertainty as a continuous input, enabling richer and more informative decision-making compared to scenario-based approaches.
Why this matters now
Power systems are undergoing a structural transition driven by increasing renewable penetration. This raises uncertainty in both congestion management and balancing, while existing decision-support tools remain largely based on simplified assumptions.
The methodologies developed here aim to bridge this gap by making uncertainty directly usable in operational decision-making, rather than abstracting it away.
Collaboration and engagement
I welcome collaboration with transmission system operators, industry partners, and researchers working on congestion management, balancing coordination, and operational planning under uncertainty.