Do-a-thon: Julia models for Energy system optimization
As a discussion basis the do-a-thon will start with a 10 min input-talk that compares the data flow for a simple 3-bus generator/storage/network example in EnergyModels.jl, PowerSystems.jl/PowerSimulation.jl (refactor-branch), PSA.jl and PowerModels.jl (and probably Joulia.jl).
The comparison should be helpful for some previously proposed do-a-thons, especially about PowerDynamics.jl (@Sabine_elena, @timk) and maybe the one about the PandaPower<->PowerModels.jl bridge (@leon.thurner).
We’ll then aim at two more steps.
1. Dicuss and formulate best-practices for
- handling electricity system parameters (input data):
explicit types for single elements (PowerModels/PowerSystems) <-> tables with conventions for classes of generators (EnergyModels/PSA).
- choosing the model formulation using dispatch on type hierarchies like PowerModels (
ACPPowerModel) or PowerSimulation’s (
- (conventions for storing and managing the associated jump variables and
- retrieving and storing solution data
Hopefully, we’ll be convinced that the
momentum is big enough (and the memory overhead solvable enough), that in the
2. Adjoining hack-a-thon
- We open tickets on their project for features missing for our concrete projects.
- We start the implementation of exporters/importers to
PyPSAand other interested frameworks.
- Wiki entry about Best practices for Julia models with details about the model differences
- Tickets on
PowerSimulation.jlfor feature “requirements” (requests).