Modelling Flexibility Options in Agent Based Models
Year: 2025
Type: conference-paper
Abstract: We held a workshop on the modelling of flexibility options in agent-based models for electricity markets and systems. This workshop aims at gathering insights on past, current, and upcoming modelling techniques and aspects with respect to flexibility options. We hope to obtain an overview of existing and possible new modelling techniques and aspects of flexibility options, with respect to their availability in models as well as their expected relevance in the near future of ABM in the electricity sector. To this end, we kick-off the workshop with lightning talks featuring the representation of flexibility options in three distinguished open-source electricity market ABMs, namely AMIRIS, PowerACE, and ASSUME. Then, the participants split up in groups that work on separate boards, each addressing different aspects of flexibility option modelling. Topics for these boards could cover, e.g., Large scale flexibility (e.g. pumped hydro power plants, electrified steel plants), competition strategies Small scale flexibility (e.g. heat pumps, electric vehicles, household electricity storage), aggregation & impact on system scale Sequential Market strategies (e.g. day-ahead vs. intraday vs. balancing markets or day-ahead vs. local energy markets) Each group is to discuss flexibility option implementation challenges, possible solutions, their benefits and restrictions, thus utilising the different modelling needs, experiences and perspectives of the workshop participants. In the last step, we invite all participants to have a look at all the boards and to give their assessment on the practicability and utility of each modelling technique and aspect with respect to their own work. All material from this workshop will be made available to the conference participants. This are the outcomes of the workshop.
Source: elib (German Aerospace Center)
Authors: Schimeczek, Christoph, Khanra, Manish, Signer, Tim
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6967804968