A toolkit for generating grid-frequency deviation scenarios over 15 minute timesteps.
Project description
This toolkit implements the model described in the following paper for generating scenarios of grid-frequency deviations over 15-minute time steps:
Mercier, J. Jomaux, and E. De Jaeger, “Stochastic Programming for Valuing Energy Storage Providing Primary Frequency Control”.
# Installation
pip install grid_toolkit
# Use
import grid_toolkit
scenarios = grid_toolkit.generate(n,length,[start_year,start_month,start_day,start_hour])
# Note on arguments
All arguments are integers with n the number of scenarios you want to generate, length the number of time steps of the generated scenarios, start_year,start_month,start_day,start_hour] the starting date of the scenarios.
[start_year,start_month,start_day,start_hour] = [2015,1,1,0] corresponds to 1 January 2015 at midnight.
Note that daylight saving time is taken into account.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
File details
Details for the file grid_toolkit-1.0.10-py2.py3-none-any.whl
.
File metadata
- Download URL: grid_toolkit-1.0.10-py2.py3-none-any.whl
- Upload date:
- Size: 34.6 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2bc33b0052069617c872ed6b20e7f3b5f9d431a3142c74a3392620e323001ecd |
|
MD5 | 48809c996c4fe3d5c2094535826fd587 |
|
BLAKE2b-256 | 289b78de19afc34d10c9b128f47589bc1edfc9b627f3ec130b4b759f579c1d29 |