relsad 0.2.15

A package that facilitates reliability investigations of power systems

RELSAD

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 allows for Monte Carlo simulation based reliability analysis of modern distribution networks, and sequential simulation of the network behavior with user-defined loading and failure evolution to investigate the impact of the introduction of for instance ICT components.

The package supports user-selected time steps over a user-defined time period. In the tool, active components such as microgrids, distributed generation, batteries, and electrical vehicles are implemented. To evaluate smart power systems, ICT (Information and Communication Technology) components such as automated switches, sensors, and control systems 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. For now, only radial systems are supported.

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 generation 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

Installation

See https://relsad.readthedocs.io/en/latest/installation.html.

Features

• Monte Carlo simulation based reliability analysis of modern distribution networks

• Sequential simulation of the network behavoir with user-defined loading and failure evolution

Dependencies

The package dependencies can be found in pyproject.toml.

Usage

Examples using well known test networks are included and presented in https://relsad.readthedocs.io/en/latest/usage/main.html.

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.

Help

If you have questions, feel free to contact the author.