NatLabRockies / NatLabRockies/PRAS
Suboptimal storage strategies with small times-to-go
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- Dominant language
- Julia
- Stars
- 76
- Forks
- 29
- PR merge metrics
- No merged PRs in 30d
Description
When multiple short-duration devices have their times-to-go rounded to the nearest integer, they can result in equal TTG values that don't reflect the proper charging/discharging priorities for the devices, leading to suboptimal dispatch.
To fix this, scale up the floating-point TTGs before rounding to integer cost modifiers, to reduce quantization artifacts.
Contributor guide
No contributing guide indexed for this repository
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
The issue names no files, tests, or entry points. Start by locating the storage-dispatch code that computes floating-point times-to-go and rounds them into integer cost modifiers; reproduce equal-TTG cases, then verify that scaled values preserve charging and discharging priorities.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100