Midterm colloquium Bas de Jager

Optimizing Portfolio Management of Hybrid Power Plants under Uncertainty

Supervisors: Dr. Sergio Grammatico (TUD)/ Dr. Aitazaz Raja (TNO)

Abstract: Hybrid power plants (HPPs) offer significant advantages by operating in multiple markets. Their efficient management of electricity storage and delivery allows them to take advantage of the aFRR balancing market and the opportunity for passive balancing, storing electricity during periods of low prices and releasing it when demand increases.

However, uncertainties in pricing and production affect the reliability of energy supply. This thesis investigates various optimization strategies, including data-driven methods and stochastic programming, to evaluate their effectiveness in handling uncertainties in a multi-market setup. The plant includes an electrolyzer, a battery, wind turbines, and solar panels. Scenario-based forecasting and stochastic hybrid approaches will be used to assess variability and manage risk. This analysis aims to refine the combined strategy of day-ahead market optimization and imbalance management to improve the utilization and operational efficiency of hybrid power plants under uncertain conditions.