Year: 2025
Type: conference-paper
Abstract: To achieve climate goals by 2050, accurate energy system optimization (MIP) models are needed to help decision-makers make investment plans.To increase accuracy, a high resolution in the temporal and spatial dimensions is needed, as well as many details on the operational capabilities of energy generators.However, this results in large-scale models that do not scale well.Thus, researchers often seek the right trade-off between computational tractability and accuracy.Here, we present a tighter formulation for optimal storage operation and investment problems, including reserves, along with the methodology we used to obtain it, based on the work of [2].Additionally, we present some preliminary work aiming to provide tight and compact unit commitment models with different levels of detail.These models can be included in large-scale energy system optimization models to increase model accuracy while keeping the models computationally tractable.
Institution: Delft University of Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4411345765