CIMantic Graphs Library Documentation

Python library for creating in-memory labeled property graphs for creating, parsing, and editing CIM power system models. It creates Python object instances in memory using a data profile exported from a specified CIM profile (e.g. IEC61970cim18v01 or GridAPPS-D CIM100 RC4_2021).

The library is being expanded to cover centralized applications, transmission models, and real-time editing of CIM XML models natively.

To install CIMantic Graphs clone the github repository or use pip install: pip install cim-graph

Overview

• CIMantic Graphs Overview
  • Table of Contents:
  • 1. CIMantic Graphs Structure
  • 2. Importing CIMantic Graphs
  • 3. Specifying Connection Parameters
  • 4. Connecting to the Data Source
  • 5. Creating a Container and Graph Model
  • 6. Automated Database Queries
  • 7. Traversing the Knowledge Graph
• Connection Parameters
  • 1. Connection Arguments
  • 2. Creating a Connection
  • 3. Blazegraph Database
  • 4. Graph DB Database Connection
  • 5. Neo4j Database Connection
  • 6. MySQL-JSON-LD Database Connection
  • GridAPPS-D Platform Connection
  • AVEVA PI Asset Framework (PI-Web-API) Connection
  • Local Connection (No Database)
  • RDFLib File Parser Connection (No Database)
• Distribution Feeder Modeling
  • Creating a FeederModel
  • Traversing the Property Graph
  • Example 1: Expand the Property Graph by One Edge
  • Example 2: Expand CIM-Graph to Find Bus and Phase of Each Line
  • Example 3: Get All Measurements
  • Example 4: Get all line impedances and physical asset info
• Bus-Branch Transmission Modeling
  • Creating a BusBranchModel