grid-data-models 0.0.0

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Grid Data Models (GDM)

GDM is a python package containing pydantic data models for power system assets and datasets. This package is actively being developed at National Renewable Energy Laboratory (NREL).

Why Grid Data Models ?

In an effort to reduce code duplication and provide client packages a standard interface to interact with power system data, a group of research engineers at NREL is working on developing standard data models. Features:

• Builtin validation layer: Use of pydantic in creating data models allows us to check for fields during the time of construction and update.
• Timeseries data management: GDM uses infrasys package which enables attaching time series data to fields in the data model. For example, we can attach time series power consumption data to a load profile.
• Builtin unit conversion: GDM leverages pint for unit conversion for power system quantities. For e.g power, voltage, time etc.
• JSON serialization/deserializatin: GDM uses infrasys to serialize and deserialize distribution system containing power system components and time series data attached to components.

How to get started ?

To get started, you can clone and pip install this library from here.

Contributors

• Kapil Duwadi
• Tarek Elgindy
• Aadil Latif
• Pedro Andres Sanchez Perez
• Daniel Thompson
• Jeremy Keen