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Python module to generate power network model for GIC calculations.

Project description

# Power_Network_Model

Python program to generate power network model for calculating [geomagnetically induced currents](https://en.wikipedia.org/wiki/Geomagnetically_induced_current).

The program handles different types of transformers (Auto and two-winding), and multiple transformers per substation. It connects correctly between voltage systems. In addition, parallel connections between substations are handled.

Uses the approach outlined [here](http://onlinelibrary.wiley.com/doi/10.1002/2016SW001499/full).

## Installation
```python
pip install power_network_model
```

## Quick Code Example
If you have two .csv files with network information- one for connections, one for transformers:
```python
import pkg_resources
import power_network_model as PNM
import power_network_model.plotter as PNMplot

# read in transformer file, generate substation data:
trafo_filename = pkg_resources.resource_filename("power_network_model", 'Data/Horton_Input_Trafos.csv')
ss_trafos, ss_connections, ss_meta = PNM.make_substations(trafo_filename)

# Generate connections between substations:
connections_filename = pkg_resources.resource_filename("power_network_model", 'Data/Horton_Input_Connections.csv')
connections_twixt_stations = PNM.connections_adder(connections_filename, ss_meta)

# Write out the output files
filename = "Horton_Output"
nodes_output, connections_output = PNM.write_out(filename, ss_trafos, ss_connections, connections_twixt_stations)

################################################################################
# If you want to plot the output:
PNMplot.network_plotter(nodes_output, connections_output, ["red", "blue"], "Horton Model")
```
The above gives you the following model:
![Horton_Network](https://cloud.githubusercontent.com/assets/20742138/23833656/8c753db8-0740-11e7-9b63-981efeee10f4.png)

The connections on one substation in this model is shown here:
![Horton_Network Closeup](https://user-images.githubusercontent.com/20742138/40500027-86a90bb4-5f7b-11e8-8636-3e92ec404c4a.png)
With red, blue and black lines for 500 kV, 345 kV and internal connections respectively. This substation connects two voltage regimes, and has two YY-transformers (3 nodes apiece).

## **Inputs Required**
The two .csv file inputs need to be in the following format:

Transformer information in a csv file with columns:
- SS_NAME = Subsation name (important to keep spelling uniform)
- SS_SYM = Substation symbol
- TF_SYM = Transformer symbol (or code: e.g, T1432)
- VOLTAGE = Highest operating voltage of the substation
- LAT = Latitude
- LON = Longitude
- TYPE = Type of transformer: 'A' = autotransformer, "YY" = Wye-Wye, "G" = grounded, "T" = Tee connection station.
- RES1 = High voltage resistance winding
- RES2 = Low voltage resistance winding
- GROUND = Ground resistance at substation
- SWITCH = Transformer ground switch: 0 = None, 1 = Open, 2 = Closed

Connections information in a csv file with columns:
- FROM = Substation name from
- TO = Substation name to
- VOLTAGE = Voltage of connection
- CIRCUIT = To denote multiple lines per connection
- RES = Resistance of line.

## **Output Files**
Two .txt files are output, one for node information, and one for connections.

Nodes file has columns (left-to-right):
- Node number
- Substation latitude
- Substation longitude
- Transformer winding resistance
- Grounding resistance
- Voltage of node
- Substation ID
- Transformer ID
- Real (0) or imaginary (nan) node

Connections file has columns (left-to-right):
- Number of node from
- Number of node to
- Resistance of connection
- Latitude of node from
- Longitude of node from
- Latitude of node to
- Longitude of node to
- Dummy coluimn (with nans)
- Voltage of Line

## **Verification**
Verified with the [Horton 2012](http://ieeexplore.ieee.org/abstract/document/6298994/) model (included in Data/).
After calculating GICs for a uniform electric field, compared to Horton:
![Comparison](https://cloud.githubusercontent.com/assets/20742138/23833590/0e27c958-0740-11e7-9ae6-beaf2dda4ed4.png)

Finally, when applied to a larger network such as Ireland:
![irish_power_network](https://cloud.githubusercontent.com/assets/20742138/23032365/ffc3b020-f46b-11e6-85d7-3b0ad793ca57.png)

## **Author**
Written by Sean Blake in Trinity College Dublin, 2017

Email: blakese@tcd.ie

GITHUB: https://github.com/TerminusEst

Uses the MIT license.

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