EURO 2024 Copenhagen
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976. Fully Flexible Temporal Resolution for Energy System Optimization

Invited abstract in session WA-9: Decarbonized energy systems & markets, stream Energy Markets.

Wednesday, 8:30-10:00
Room: 10 (building: 116)

Authors (first author is the speaker)

1. Zhi Gao
Copernicus Institute of Sustainable Development, Utrecht University
2. Germán Morales-Espana
Energy Policy Studies, ECN part of TNO
3. Diego Tejada
Energy Transition Studies, TNO
4. Matteo Gazzani
Copernicus Institute of Sustainable Development, Utrecht University

Abstract

To facilitate the transition towards climate-neutral energy systems, many decision-makers rely on Energy System Optimization Models (ESOMs). However, the complexity associated with operational decisions in the numerous time steps can bring a tremendous computational burden. So far, most efforts have been dedicated to creating typical periods to represent the full horizon, with repetitions in a uniform resolution. On the other hand, owing to the various natures of operational decisions, a uniform resolution might not be necessary. In fact, it has been proposed to designate separate resolutions for certain sections of the system. In that method, temporal period lengths have to be multiples of each other. Taking this to a new level, we propose a concept and mathematical formulation of fully flexible temporal resolutions, where energy flows and balances can have independent and dynamically varying resolutions. Furthermore, we present a case study of the optimal operation of the Northwest EU power system to demonstrate its advantages, utilizing TulipaEnergyModel.jl, an open-source ESOM tool. Results show that compared to using traditional uniform resolution, a simplification enabled by the fully flexible resolutions gives a relatively more accurate solution while incurring less computational cost. The time spent formulating the optimization problem also drops proportionally.

Keywords

Status: accepted

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