Kolloquium
Am Freitag, den 09. Juni 2023, um 15:00 Uhr hält
Paul Hendrik Tiemann
Universität Oldenburg
im Rahmen seiner beabsichtigten Dissertation einen Vortrag mit dem Titel
Hierarchical frequency control auctions for decentralized power system islands
Der Vortrag findet im OFFIS, Escherweg 2, Raum F 02 statt
from two key research questions:
- Which control reserve market design can provide flexibility for potential islanded grids and is
compatible with the European frequency control system?
- How can battery storage flexibility be modeled by commercial market participants pursuing
private goals, taking into account device constraints?
System service markets, such as for balancing power, can create incentives for commercial market participants
to provide capacity at the transmission and distribution grid level in addition to their local
objectives. First, to suggest a possible change to the current market design, a game-theoretic approach
is developed. This approach models what a market design might look like in which frequency control
power is allocated in a centralized and decentralized manner. Different design options are evaluated in
a multi-agent Monte Carlo simulation with respect to economic performance metrics such as efficiency,
costs, or the incentive to behave in a system-supportive way. Second, a flexibility model for battery
storage is developed that allows commercial market participants to determine how much capacity they
can offer to such a market without violating device or use case constraints. It contains a formal description
and is designed to be quickly computable for application in simulations or a real world application.
The model can handle commitments from local use cases as well as those from market activities and has
been tested extensively.
The work contributes on how to integrate economic key performance indicators in a multi-agent simulation.
With this, the hierarchical auction mechanism was analyzed for its performance in possible future
frequency control power allocation. Finally, the research presents a new approach to modeling battery
storage flexibility in an abstract and compact way, which can help to size bids for electricity markets.
Betreuerin: Prof. Dr. Astrid Nieße