Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

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:

  1. 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.

Files for grid-toolkit, version 1.0.10
Filename, size File type Python version Upload date Hashes
Filename, size grid_toolkit-1.0.10-py2.py3-none-any.whl (34.6 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page