grid-reducer 1.1.1

A repository for performing network reduction on distribution network model.

⚡ Getting Started with grid-reducer

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Welcome! Follow the steps below to get grid-reducer up and running locally.
We recommend using a Python virtual environment for a clean install 🔒🐍.

This software is being provided as a prototype only. For your intended use, it is your responsibility to independently validate the results in accordance with your applicable software quality assurance program.

🧪 Step 1: Set Up a Python Environment

To avoid dependency conflicts, create and activate a virtual environment.

You can use any tool of your choice — here are a few popular options:

🟢 Option A: Using venv (Standard Library)

python3 -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

🔵 Option B: Using conda

conda create -n grid-reducer-env python=3.11
conda activate grid-reducer-env

🚀 Step 2: Install the Project Locally

Install the project:

pip install grid_reducer

✅ This will also install all required dependencies.

🛠 Example CLI Usage

Once installed, you can use command line interface. Run grid --help to see all the available command options.

Here is a minimal example to reduce OpenDSS model.

grid reduce -f Master.dss

Example Python Usage

You can also reduce the feeder model through python scripts.

Here is a minimal example to reduce OpenDSS feeder model using Python Script.

from pathlib import Path

from grid_reducer.reducer import OpenDSSModelReducer

file_path = "master.dss"
reducer = OpenDSSModelReducer(master_dss_file=file_path)
reduced_ckt = reducer.reduce(transform_coordinate=True)

out_folder = Path("outputs")
out_folder.mkdir(parents=True, exist_ok=True)
original_circuit_file = out_folder / "original_ckt.dss"
reduced_circuit_file = out_folder / "reduced_ckt.dss"
reducer.export_original_ckt(original_circuit_file)
reducer.export(reduced_ckt, reduced_circuit_file)

📌 Notes

• This is the recommended way to use the project:

pip install grid-reducer

• If you want your local changes to the code to be applied immediately (without needing to reinstall your package each time), use an “editable” install by running:

pip install -e .

Stay tuned for updates! 📬

Need help? Feel free to open an issue or reach out to the maintainers. 💬

Attribution and Disclaimer

This software was created under a project sponsored by the U.S. Department of Energy’s Office of Electricity, an agency of the United States Government. Neither the United States Government nor the United States Department of Energy, nor Battelle, nor any of their employees, nor any jurisdiction or organization that has cooperated in the development of these materials, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness or any information, apparatus, product, software, or process disclosed, or represents that its use would not infringe privately owned rights.

Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof, or Battelle Memorial Institute. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

PACIFIC NORTHWEST NATIONAL LABORATORY

operated by BATTELLE

for the UNITED STATES DEPARTMENT OF ENERGY

under Contract DE-AC05-76RL01830