pygridsim 0.1.0.dev1

Package to simulate OpenDSS circuits on Python

An open source project from Data to AI Lab at MIT.

PyGridSim

PyGridSim is a package for simulating OpenDSS circuits. PyGridSim uses a functional interface to allow users to efficiently generate circuits of various scopes.

• Documentation: https://dtail.gitbook.io/pygridsim
• Homepage: https://github.com/DAI-Lab/PyGridSim/

Overview

PyGridSim allows users to create and customize circuits. Users can either fully specify each component they add to the circuit, or lean on library-provided parameter sets. PyGridSim supports the batch creation of every circuit component, emphasizing scalability and efficiently in building large circuits.

Installation

Requirements

PyGridSim has been developed and tested on Python 3.10, 3.11 and 3.12

Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system in which PyGridSim is run.

These are the minimum commands needed to create a virtualenv using python3.10 for PyGridSim:

pip install virtualenv
virtualenv -p $(which python3.10) PyGridSim-venv

Afterwards, you have to execute this command to activate the virtualenv:

source PyGridSim-venv/bin/activate

Remember to execute it every time you start a new console to work on PyGridSim!

Install from source

With your virtualenv activated, you can clone the repository and install it from source by running make install on the stable branch:

git clone [e-mail]:amzhao/PyGridSim.git
cd PyGridSim
git checkout stable
make install

Quick Start

Users of PyGridSim have the option between creating a fully customized circuit and using PyGridSim-provided parameters to build their circuit. Consider the simplest circuit: one source, one load, and a line connecting them. The following code snippet demonstrates how to model and print results on this circuit on PyGridSim with both methods.

Customized Circuit Creation

circuit = PyGridSim()

# Add Custom Source and Load
circuit.add_load_nodes(params={"kV": 0.12, "kW": 1, "kvar": 1})
circuit.update_source(params={"kV": 0.5})

# Add Line
circuit.add_lines([("source", "load0")], params={"length": 1})

# Solve and Print Results
circuit.solve()
print(circuit.results(["Voltages", "Losses"]))
circuit.clear()

Running this code yields the following printed output:

{'Voltages': {'source': 499.7123955784113, 'load0': 120.73408045756985}, 'Losses': {'Active Power Loss': 465617.30157676246, 'Reactive Power Loss': 969502.2898991327}}

Note that the losses here are expressed in Watts, and the Voltages in Volts. The circuit observes some loss due to a much higher source voltage than load voltage, with most of the loss being reactive power loss. The circuit is created with a step-down transformer in the line by default, which enables the source and load to maintain isolated voltage levels at rest.

Defaults-Based Circuit Creation

circuit = PyGridSim()

# Add Custom Source and Load
circuit.add_load_nodes(load_type="house")
circuit.update_source(source_type="turbine")

# Add Line
circuit.add_lines([("source", "load0")], line_type="lv")

# Solve and Print Results
circuit.solve()
print(circuit.results(["Voltages", "Losses"]))
circuit.clear()

The following output is printed:

{'Voltages': {'source': 2418.845494533779, 'load0': 169.53107121049976}, 'Losses': {'Active Power Loss': 351310.95859906287, 'Reactive Power Loss': 730351.7183868886}}

The defaults-based ranges for source and load nodes are higher than the ones specified in the above customization example, explaining the higher voltages set for both nodes. We once again observe some loss in the system, with most of that being in reactive power loss.

Resources

For more details about PyGridSim and all its possibilities and features, please check the Gitbook page for PyGridSim

History