NatLabRockies / NatLabRockies/H2Integrate
Make sure dispatch windows are being applied appropriately
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 26
- Forks
- 44
- Avg merge
- 3d 22h
- Merged PRs (30d)
- 16
Description
Make sure dispatch windows are being applied appropriately
The pyomo dispatch framework has the input variables n_control_window and n_horizon_window. Currently, only n_control_window is being used. The correct use of n_horizon_window needs to be applied for the optimal control strategy.
Proposed solution
Implement a receding horizon for the optimal control of length n_horizon_window and then apply the results to the outputs for length n_control_window
Alternatives considered
Additional context
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Search the Python/Pyomo dispatch implementation for the n_control_window and n_horizon_window inputs, then trace how the optimal-control strategy produces outputs. Confirm how a receding horizon should use n_horizon_window while applying only n_control_window results; done means both windows affect dispatch behavior as proposed, with relevant tests or examples passing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100