Example Simulations

While the modeller can define her own input data for the simulation, we provide some example simulations to get started. Here you can find an overview of the different exampels provided. Below you find an exhaustive table explaining the different examples.

example name	input files	description
small	example_01a	Small Simulation (4 actors) with single hour bidding.
small_dam	example_01a	Small simulation with 24 hour bidding.
small_with_opt_clearing	example_01a	Small simulation with optimization clearing instead of pay_as_clear.
small_with_BB	example_01d	Small Simulation with Block Bids and complex clearing.
small_with_vre	example_01b	Small simulation with variable renewable energy.
small_learning_1	example_02a	A small study with roughly 10 powerplants, where one powerplant is equiped with a learning bidding strategy and can learn to exert market power.
small_learning_2	example_02b	A small study with roughly 10 powerplants, where multiple powerplants are equiped with a learning bidding strategy and learn that they do not have market power anymore.

The following table categorizes the different provided examples in a more detailed manner. We included the main features of ASSUME in the table.

example name	Country	Generation Tech	Generation Volume	Demand Tech	Demand Volume	Markets	Bidding Strategy	Grid	Further Infos
small_learning_1	Germany	conventional	12,500 MW	fixed inflexible	1,000,000 MW	EoM	Learning, Naive	No	Resembles Case 1 from Harder et.al. 2023
small_learning_2	Germany	conventional	12,500 MW	fixed inflexible	1,000,000 MW	EoM	Learning, Naive	No	Resembles Case 2 from Harder et.al. 2023

References

Harder, Nick & Qussous, Ramiz & Weidlich, Anke. (2023). Fit for purpose: Modeling wholesale electricity markets realistically with multi-agent deep reinforcement learning. Energy and AI. 14. 100295. 10.1016/j.egyai.2023.100295.