gridmeta 1.0.2
A repository for extracting dehydrated metadata for distribution power grid model.
Requires Python: >=3.11

# Getting Started with `grid-meta`

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[View Full Documentation.](https://grid-kitchen.github.io/grid-meta).

Welcome! Follow the steps below to get `grid-meta` 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:

<details> <summary><strong>🟢 Option A: Using <code>venv</code> (Standard Library)</strong></summary>

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

</details> <details> <summary><strong>🔵 Option B: Using <code>conda</code></strong></summary>

```bash
conda create -n grid-reducer-env python=3.10
conda activate grid-reducer-env
```

</details>

## 🚀 Step 2: Install the Project Locally

Install the project.

```bash
pip install gridmeta
```

✅ This will also install all required dependencies.

## 🛠 Example CLI Usage

You can currently use this package as CLI tool. To see the available commands please use following command.

```bash
gridmeta --help
```

```bash
Usage: gridmeta [OPTIONS] COMMAND [ARGS]...

Options:
  --help  Show this message and exit.

Commands:
  extract-opendss-dehydrated-dataset
```

To extract opendss model dehydrated metadata you can use following command.

```bash
gridmeta extract-opendss-dehydrated-dataset -f tests\data\opendss\ieee13\master.dss -o test.json
```

You can specify privacy flag with `-pm` option.

```bash
gridmeta extract-opendss-dehydrated-dataset -f tests\data\opendss\ieee13\master.dss -pm "low" -o test.json
```

Make sure to pass appropriate file paths. You can also update model year, state, region type and description from command line.
Defaults will be used if these are not provided.

## Example

Here is an example of extracted metadata for IEEE 13 opendss model.

```json
{
  "metadata": {
    "state": "WA",
    "created_at": "2025-02-26T16:07:47.810263",
    "model_year": 2025,
    "info": "",
    "region_type": "Suburban"
  },
  "assets": {
    "transformers": [
      {
        "kva": 500,
        "count": 1,
        "is_regulator": false,
        "is_substation_transformer": false,
        "num_phase": 3,
        "high_kv": 4.16,
        "low_kv": 0.48,
        "avg_customers_served": 3.0,
        "min_customers_served": 3.0,
        "max_customers_served": 3.0,
        "std_customers_served": "NaN",
        "min_pct_peak_loading": 107.2857856604396,
        "avg_pct_peak_loading": 107.2857856604396,
        "max_pct_peak_loading": 107.2857856604396,
        "std_pct_peak_loading": "NaN"
      },
      {
        "kva": 1666,
        "count": 3,
        "is_regulator": true,
        "is_substation_transformer": false,
        "num_phase": 1,
        "high_kv": 2.4,
        "low_kv": 2.4,
        "avg_customers_served": 5.0,
        "min_customers_served": 0.0,
        "max_customers_served": 15.0,
        "std_customers_served": 8.660254037844387,
        "min_pct_peak_loading": 56.934951911321086,
        "avg_pct_peak_loading": 72.20336662873115,
        "max_pct_peak_loading": 81.85450680902247,
        "std_pct_peak_loading": 13.375776014643415
      },
      {
        "kva": 5000,
        "count": 1,
        "is_regulator": false,
        "is_substation_transformer": true,
        "num_phase": 3,
        "high_kv": 115.0,
        "low_kv": 4.16,
        "avg_customers_served": 15.0,
        "min_customers_served": 15.0,
        "max_customers_served": 15.0,
        "std_customers_served": "NaN",
        "min_pct_peak_loading": 80.6972565800457,
        "avg_pct_peak_loading": 80.6972565800457,
        "max_pct_peak_loading": 80.6972565800457,
        "std_pct_peak_loading": "NaN"
      }
    ],
    "feeder_sections": [
      {
        "kv": 2.40178,
        "num_phase": 1.0,
        "count": 2.0,
        "avg_feeder_miles": 0.16763999999999998,
        "min_feeder_miles": 0.09144,
        "max_feeder_miles": 0.24383999999999997,
        "std_feeder_miles": 0.10776307345282983,
        "min_ampacity": 400.0,
        "avg_ampacity": 400.0,
        "max_ampacity": 400.0,
        "std_ampacity": 0.0,
        "avg_per_unit_resistance_ohm_per_mile": 8.259058763487898e-5,
        "min_per_unit_resistance_ohm_per_mile": 4.504941143720672e-5,
        "max_per_unit_resistance_ohm_per_mile": 0.00012013176383255125,
        "std_per_unit_resistance_ohm_per_mile": 5.309124052618614e-5,
        "avg_per_unit_reactance_ohm_per_mile": 0.00017173146325459316,
        "min_per_unit_reactance_ohm_per_mile": 9.36717072297781e-5,
        "max_per_unit_reactance_ohm_per_mile": 0.00024979121927940824,
        "std_per_unit_reactance_ohm_per_mile": 0.00011039316564582839,
        "min_customers_served": 1.0,
        "avg_customers_served": 1.0,
        "max_customers_served": 1.0,
        "std_customers_served": 0.0,
        "min_pct_peak_loading": 15.674269355370459,
        "avg_pct_peak_loading": 16.73120979790217,
        "max_pct_peak_loading": 17.788150240433882,
        "std_pct_peak_loading": 1.4947395084489676
      },
      {
        "kv": 2.40178,
        "num_phase": 2.0,
        "count": 3.0,
        "avg_feeder_miles": 0.11175999999999998,
        "min_feeder_miles": 0.09144,
        "max_feeder_miles": 0.15239999999999998,
        "std_feeder_miles": 0.035195272409799576,
        "min_ampacity": 400.0,
        "avg_ampacity": 400.0,
        "max_ampacity": 400.0,
        "std_ampacity": 0.0,
        "avg_per_unit_resistance_ohm_per_mile": 0.0003202409042304056,
        "min_per_unit_resistance_ohm_per_mile": 0.0002217052413902808,
        "max_per_unit_resistance_ohm_per_mile": 0.000369508735650468,
        "std_per_unit_resistance_ohm_per_mile": 8.533438719828638e-5,
        "avg_per_unit_reactance_ohm_per_mile": 0.0007264657732177418,
        "min_per_unit_reactance_ohm_per_mile": 0.0005029378429968982,
        "max_per_unit_reactance_ohm_per_mile": 0.0008382297383281636,
        "std_per_unit_reactance_ohm_per_mile": 0.00019358086602660592,
        "min_customers_served": 1.0,
        "avg_customers_served": 1.6666666666666667,
        "max_customers_served": 2.0,
        "std_customers_served": 0.5773502691896257,
        "min_pct_peak_loading": 16.094312794909246,
        "avg_pct_peak_loading": 23.23659848839567,
        "max_pct_peak_loading": 35.82733535181359,
        "std_pct_peak_loading": 10.936738998493551
      },
      {
        "kv": 2.40178,
        "num_phase": 3.0,
        "count": 6.0,
        "avg_feeder_miles": 0.30479999999999996,
        "min_feeder_miles": 0.15239999999999998,
        "max_feeder_miles": 0.6095999999999999,
        "std_feeder_miles": 0.1788621873986338,
        "min_ampacity": 400.0,
        "avg_ampacity": 400.0,
        "max_ampacity": 400.0,
        "std_ampacity": 0.0,
        "avg_per_unit_resistance_ohm_per_mile": 0.0001431742504224452,
        "min_per_unit_resistance_ohm_per_mile": 5.54263103475702e-5,
        "max_per_unit_resistance_ohm_per_mile": 0.0002217052413902808,
        "std_per_unit_resistance_ohm_per_mile": 7.100745688573208e-5,
        "avg_per_unit_reactance_ohm_per_mile": 0.00032479046606481823,
        "min_per_unit_reactance_ohm_per_mile": 0.00012573446074922454,
        "max_per_unit_reactance_ohm_per_mile": 0.0005029378429968982,
        "std_per_unit_reactance_ohm_per_mile": 0.00016108025673573865,
        "min_customers_served": 0.0,
        "avg_customers_served": 6.333333333333333,
        "max_customers_served": 15.0,
        "std_customers_served": 5.501514942874069,
        "min_pct_peak_loading": 0.00014937875249263795,
        "avg_pct_peak_loading": 76.50571677687857,
        "max_pct_peak_loading": 147.9353947021755,
        "std_pct_peak_loading": 60.66546205074211
      }
    ],
    "capacitors": [
      { "kvar": 100.0, "num_phase": 1.0, "kv": 2.4, "count": 1.0 },
      { "kvar": 600.0, "num_phase": 3.0, "kv": 4.16, "count": 1.0 }
    ],
    "switches": [
      {
        "num_phase": 3.0,
        "kv": 2.40178,
        "is_normally_open": false,
        "count": 1.0,
        "avg_ampacity": 400.0,
        "min_ampacity": 400.0,
        "max_ampacity": 400.0,
        "std_ampacity": "NaN"
      }
    ],
    "loads": [
      {
        "kv": 0.277,
        "count": 3.0,
        "num_phase": 1.0,
        "total_customer": 3.0,
        "avg_customers_per_load": 1.0,
        "min_customers_per_load": 1.0,
        "max_customers_per_load": 1.0,
        "std_customers_per_load": 0.0,
        "avg_peak_kw": 133.33333333333334,
        "avg_peak_kvar": 96.66666666666667,
        "min_peak_kw": 120.0,
        "min_peak_kvar": 90.0,
        "max_peak_kw": 160.0,
        "max_peak_kvar": 110.0,
        "std_peak_kw": 23.094010767585033,
        "std_peak_kvar": 11.547005383792516
      },
      {
        "kv": 2.4,
        "count": 9.0,
        "num_phase": 1.0,
        "total_customer": 9.0,
        "avg_customers_per_load": 1.0,
        "min_customers_per_load": 1.0,
        "max_customers_per_load": 1.0,
        "std_customers_per_load": 0.0,
        "avg_peak_kw": 167.88888888888889,
        "avg_peak_kvar": 96.55555555555556,
        "min_peak_kw": 17.0,
        "min_peak_kvar": 10.0,
        "max_peak_kw": 485.0,
        "max_peak_kvar": 212.0,
        "std_peak_kw": 142.64768175862903,
        "std_peak_kvar": 67.38529348290899
      },
      {
        "kv": 4.16,
        "count": 2.0,
        "num_phase": 1.0,
        "total_customer": 2.0,
        "avg_customers_per_load": 1.0,
        "min_customers_per_load": 1.0,
        "max_customers_per_load": 1.0,
        "std_customers_per_load": 0.0,
        "avg_peak_kw": 200.0,
        "avg_peak_kvar": 141.5,
        "min_peak_kw": 170.0,
        "min_peak_kvar": 132.0,
        "max_peak_kw": 230.0,
        "max_peak_kvar": 151.0,
        "std_peak_kw": 42.42640687119285,
        "std_peak_kvar": 13.435028842544403
      },
      {
        "kv": 4.16,
        "count": 1.0,
        "num_phase": 3.0,
        "total_customer": 1.0,
        "avg_customers_per_load": 1.0,
        "min_customers_per_load": 1.0,
        "max_customers_per_load": 1.0,
        "std_customers_per_load": "NaN",
        "avg_peak_kw": 1155.0,
        "avg_peak_kvar": 660.0,
        "min_peak_kw": 1155.0,
        "min_peak_kvar": 660.0,
        "max_peak_kw": 1155.0,
        "max_peak_kvar": 660.0,
        "std_peak_kw": "NaN",
        "std_peak_kvar": "NaN"
      }
    ]
  },
  "voltage_metrics": [
    {
      "snapshot_category": "NetPeakLoad",
      "kv": 0.27713,
      "num_phase": 3.0,
      "avg_voltage_pu": 0.9926781594690027,
      "min_voltage_pu": 0.9824563162208678,
      "max_voltage_pu": 1.0084186207663994,
      "std_voltage_pu": 0.013832992200133702
    },
    {
      "snapshot_category": "NetPeakLoad",
      "kv": 2.40178,
      "num_phase": 1.0,
      "avg_voltage_pu": 0.968088461668005,
      "min_voltage_pu": 0.9608430966208247,
      "max_voltage_pu": 0.9753338267151852,
      "std_voltage_pu": 0.01024649351406627
    },
    {
      "snapshot_category": "NetPeakLoad",
      "kv": 2.40178,
      "num_phase": 2.0,
      "avg_voltage_pu": 0.9973335665813833,
      "min_voltage_pu": 0.9628590008697668,
      "max_voltage_pu": 1.0197285920694914,
      "std_voltage_pu": 0.022007077364035624
    },
    {
      "snapshot_category": "NetPeakLoad",
      "kv": 2.40178,
      "num_phase": 3.0,
      "avg_voltage_pu": 1.0077043602060967,
      "min_voltage_pu": 0.9629552840078276,
      "max_voltage_pu": 1.0560497133305953,
      "std_voltage_pu": 0.029312299320140376
    },
    {
      "snapshot_category": "NetPeakLoad",
      "kv": 66.39528,
      "num_phase": 3.0,
      "avg_voltage_pu": 0.9999724980882166,
      "min_voltage_pu": 0.9999501168596413,
      "max_voltage_pu": 0.9999938117414283,
      "std_voltage_pu": 2.1866994797273813e-5
    }
  ]
}

```

## 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