A package that facilitates reliability investigations in power systems
Project description
RELSAD – RELiability tool for Smart and Active Distribution networks, is a Python-based reliability assessment tool that aims to function as a foundation for reliability calculation of modern distribution systems. The tool uses Monte Carlo simulation and stochastic variation to simulate the reliability of a distribution system. The package supports user-selected time increment steps over a user-defined time period. In the tool, active components such as microgrids, wind power, solar power, batteries, and electrical vehicles are implemented. To evaluate smart power systems, ICT components such as automated switches, sensors, and control system for the power grid are also implemented. In addition to component implementation, in order to evaluate the reliability of such complex systems, the complexity, dependencies within a system, and interdependencies between systems and components are accounted for.
The tool can be used in modern distribution network development to evaluate the influence of active components on the network reliability. Relevant use cases include investigating how:
1. The introduction of microgrids with active production affects the customers in the distribution network and vice versa 2. Vehicle-to-grid strategies might mitigate load peaks and improve the distribution network reliability 3. The reliability of the ICT network impacts the distribution network reliability
Examples using well known test networks are included.
Installation
Install using:
$ pip install --upgrade pip
$ pip install relsad
Install in developer mode using:
$ pip install --upgrade pip
$ pip install poetry
$ poetry install
Features
Monte Carlo simulation based reliability analysis of active distribution networks
Sequential simulation of the network behavoir with user defined loading and failure evolution
Dependencies
Numpy
Scipy
Matplotlib
Pandas
Usage
Documentation
The official documentation is hosted on Read the Docs: https://relsad.readthedocs.io/en/latest/
Contributors
We welcome and recognize all contributions. You can see a list of current contributors in the [contributors tab](https://github.com/stinefm/relsad/graphs/contributors).
Project details
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