9 papers
Does Central Planning Fail Locally? Evaluating EV Charging Flexibility Optimization Across Grid Levels
Ambra Van Liedekerke, Lorenzo Zapparoli, MarÃa Parajeles Herrera +3
Electric vehicles (EVs) are a key enabler of global decarbonization, and their charging flexibility is crucial for integrating high shares of renewable energy into future power sys…
Efficient Multi-Market Scheduling of Virtual Power Plants via Spectral Representation of Uncertainty
Lorenzo Zapparoli, Blazhe Gjorgiev, Giovanni Sansavini
As the penetration of distributed energy resources increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a promisi…
Risk-Aware Multi-Market Scheduling of Virtual Power Plants with Dynamic Network Tariffs
Lorenzo Zapparoli, Paul Fäth, Blazhe Gjorgiev +1
As the penetration of distributed energy resources (DERs) increases, harnessing their flexibility becomes critical for power system operations. Virtual power plants (VPPs) offer a…
Estimating Density Functions for Probabilistic Power Flow Using Invertible Neural Networks
Weijie Xia, James Ciyu Qin, Edgar Mauricio Salazar Duque +4
Probabilistic power flow (PPF) is essential for quantifying operational uncertainty in modern power systems with high penetrations of renewable generation and flexible loads. Conve…
A day-ahead market model for power systems: benchmarking and security implications
Andrej Stankovski, Blazhe Gjorgiev, James Ciyu Qin +1
Power system security assessments, e.g. via cascading outage models, often use operational set-points based on optimal power flow (OPF) dispatch. However, driven by cost minimizati…
Multi-level informed optimization via decomposed Kriging for large design problems under uncertainty
Enrico Ampellio, Blazhe Gjorgiev, Giovanni Sansavini
Engineering design involves demanding models encompassing many decision variables and uncontrollable parameters. In addition, unavoidable aleatoric and epistemic uncertainties can…