CIMHub

Copyright (c) 2017-2021, Battelle Memorial Institute

This is a tool set for translating electric power distribution system models between various formats, using the IEC Standard 61970/61968 Common Information Model (CIM) as the "Hub". Requirements

The CIM data is stored in an open-source triple-store called Blazegraph. Python 3 scripts depend on SPARQLWrapper. The Java code uses OpenJDK 11 and builds with Apache Maven.

Please make sure that GIT LFS is installed before checking out or cloning this repository.

End User Instructions

CIMHub requires Docker for the database engine, and it runs on Linux (best), Windows or Mac OS X. Some of the converters to OpenDSS may only work on Windows, in cases where the input file comes from a Windows-only database.

Docker and Blazegraph Setup

Blazegraph requires Java 8, which is no longer widely available for new installations. Blazegraph isn't compatible with Java 9 or newer versions. Therefore, we recommend using Blazegraph in a Docker container:

1. Install the Docker Engine
2. Install the Blazegraph engine with docker pull lyrasis/blazegraph:2.1.5

Getting Started Example

This example converts two versions of the IEEE 13-Bus case from OpenDSS to CIM and GridLAB-D, without writing code. One version uses phase impedance matrices for line segments. The other version, labeled "Assets", uses wire and spacing data for the line segments, and transformer code data for the transformers.

1. Install the converter with docker pull gridappsd/cimhub:0.0.1
2. From a Terminal, start the converter and Blazegraph with ./start.sh
3. From inside the Docker Terminal, run two example conversions of the IEEE 13-Bus example:
   • cd example
   • ./example.sh
   • tail sum*.csv to verify that the converted OpenDSS files ran correctly
   • see the comments embedded in example.sh for more information
4. To shut down the converter:
   • exit from inside the Docker Terminal
   • ./stop.sh from the host Terminal

The example script may produce error messages upon first invocation, because the Blazegraph engine doesn't start immediately. However, the example does complete successfully. You may re-run the example starting from step 2. You may also wish to modify docker-compose.yml so that it mounts a local directory inside the converter, for transferring your own files between the host and Docker.

Converting Other Circuits

To convert your own circuits from OpenDSS to CIM and GridLAB-D, follow the IEEE 13-Bus example described above, with some changes:

1. First read the OpenDSS note on Common Information Model for background on how the univeral unique identifiers (UUID) are managed for CIM.
2. The first time you run the conversion process on a new circuit, OpenDSS must create random UUID values. To account for this:
   • In the example cim_test.dss file, comment out (with //) any lines invoking the uuids command
   • In the example.sh file, you have to replace the -s parameter with a correct one for your new circuit. For example, __DFBF372D-4291-49EF-ACCA-53DAFDE0338F should be changed to a new value. The correct value will be found on line 1 of the generated *UUIDS.dat file for your new circuit.
   • To re-run the conversion process on the same circuit, you should first uncomment the uuids command that you commented out in the first bullet. This way, OpenDSS will reuse the UUID values, including the first one for the circuit.

If you don't have an OpenDSS model, see the converters provided in this repository.

Command-line Reference

Usage and options for java gov.pnnl.gridappsd.cimhub.CIMImporter [options] output_root

• -q={queries file} // optional file with CIM namespace and component queries (defaults to CIM100)
• -s={mRID} // select one feeder by CIM mRID; selects all feeders if not specified
• -o={glm|dss|both|idx|cim|csv} // output format; defaults to glm; currently cim supports only CIM14
• -l={0..1} // load scaling factor; defaults to 1
• -f={50|60} // system frequency; defaults to 60
• -n={schedule_name} // root filename for scheduled ZIP loads (defaults to none), valid only for -o=glm
• -z={0..1} // constant Z portion (defaults to 0 for CIM-defined LoadResponseCharacteristic)
• -i={0..1} // constant I portion (defaults to 0 for CIM-defined LoadResponseCharacteristic)
• -p={0..1} // constant P portion (defaults to 0 for CIM-defined LoadResponseCharacteristic)
• -r={0..1} // determine ZIP load fraction based on given xml file or randomized fractions
• -h={0..1} // determine if house load objects should be added to supplement EnergyConsumers
• -x={0, 1} // indicate whether for glm, the model will be called with a fault_check already created
• -t={0, 1} // request timing of top-level methods and SPARQL queries, requires -o=both for methods
• -u={http://localhost:8889/bigdata/namespace/kb/sparql} // blazegraph uri (if connecting over HTTP); defaults to http://localhost:8889/bigdata/namespace/kb/sparql

The output format options are:

• -o=cim creates a CIM14 model from CIM100
• -o=csv creates a set of comma-delimited text files from CIM100
• -o=dss creates an OpenDSS model from CIM100
• -o=glm creates a GridLAB-D model from CIM 100
• -o=both creates both OpenDSS and GridLAB-D models from CIM100
• -o=idx creates a JSON index of all Feeders in the triple-store. Use this to obtain valid mRID values for the -s option

If you will need both OpenDSS and GridLAB-D files, the -o=both option is much more efficient than generating them individually, because over 90% of the execution time is taken up with SPARQL queries that are common to both.

Developer Notes

It could be more convenient to run only Blazegraph in a Docker container, writing code and queries on the host.

1. Start the containerized Blazegraph engine:
   • docker run --name blazegraph -d -p 8889:8080 lyrasis/blazegraph:2.1.5 to create and start the container for Blazegraph
   • Only if something goes wrong: docker logs -f blazegraph to log the database and Java messages to the console
   • consult the Docker documentation for more details on how to stop and otherwise manage containers
   • subsequently, use docker restart blazegraph to restart the container
2. Point a web browser to http://localhost:8889/bigdata. On-line help on Blazegraph is available from the browser
3. Load some data from a CIM XML file into the browser
4. Run a query in the browser
   • the file queries.txt contains sample SPARQL that can be pasted into the Blazegraph browser window

You can also run the IEEE 13-bus example conversions from the host Terminal.

1. cd example
2. ./example.sh arg

Step 2 provides a dummy argument so that the example script will select a different URL for Blazegraph. When querying from the host, the URL contains localhost:8889 but when querying from a Docker terminal, the URL contains blazegraph:8080, which is valid only on the internal network that Docker creates. Also, with a dummy argument, the example will try to run GridLAB-D on the converted example models. This will fail unless you have GridLAB-D installed on the host. If you do have GridLAB-D, tail test*.csv to check the results.

In order to develop Python code for the CIM, it should suffice to pip3 install sparqlwrapper and then use existing Python code under ./utils for guidance.

In order to modify the CIMHub Java code, you will need to install Apache Maven and then use mvn clean install.

In order to build the cimhub docker container, use the ./build.sh script. However, that script assumes that opendsscmd and liblinenoise have been built in sibling directories to this one. When finished, an authorized developer can push the new image to DockerHub, e.g., docker push gridappsd/cimhub:0.0.1

GridAPPS-D Platform Circuit Validation

If working on the platform:

• mvn clean install from this repository to ensure you have the latest, branch-compatible CIMHub
• Make sure you have the latest, branch-compatible opendsscmd from GOSS-GridAPPS-D
• Perform the GridAPPS-D tests from the latest, branch-compatible Powergrid-Models/platform.

Directories

The actively maintained directories are:

• converters CYMDist and Synergi conversion to OpenDSS
• doc description of the CIM support in OpenDSS
• example test CIMHub on the IEEE 13-bus model
• helics illustration of a CIM-defined link between transmission and distribution simulators under HELICS
• ieee9500 CIM, OpenDSS, GridLAB-D and CSV versions of the IEEE 9500-node test feeder
• model_output_tests scratch directory for model output tst results
• src Java source for CIMHub
• utils Python source, bash scripts and supporting data files

To run the Python code, you may need to adjust the Blazegraph URL and CIM Namespace in cimhubconfig.json

Unused code or data from the Powergrid-Models repository is now in archive