Welfonder, Tom (Universität Stuttgart), Lips, Johannes (University of Stuttgart), Gmur, Alois Maximilian (Universität Stuttgart), Lens, Hendrik (University of Stuttgart)

An Open Source Stochastic Unit Commitment Tool Using the PyPSA-Framework

Scheduled for presentation during the Invited Session "Open Source Modelling and Optimization of Energy Systems" (ThuS1T4), Thursday, July 11, 2024, 09:40−10:00, Session room 4

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

This paper presents an open source stochastic unit commitment (UC) optimization tool, which is available on GitHub. In addition, it presents an example use case in which UC optimization is done for a waste-to-energy plant with thermal storage and a battery energy storage system (BESS) in Germany, under uncertain day-ahead and balancing power (aFRR) market prices as well as heat load uncertainty. The tool consists of multiple modular extensions for the Python for Power System Analysis (PyPSA) framework, namely the implementation of market and bidding mechanisms, stochastic optimization and multistaging.