Code

OATS

Optimisation and Analysis Toolbox for power Systems analysis (OATS) is an open-source simulation tool for steady-state analyses of power systems problems. It contains implementations of classical steady-state problems e.g., load flow, optimal power flow (OPF) and unit commitment, as well as enhancements to these classical models relative to the features available in existing widely used open-source tools. Enhancements implemented in the current release of OATS include: a model of voltage regulating on-load tap-changing transformer, load shedding in OPF, contingency  selection in security constrained OPF and the ability to model zonal transfer limits in unit commitment. The mathematical optimisation models are written in an open-source algebraic modelling language, which offers high-level symbolic syntax for describing optimisation problems. The flexibility offered by OATS makes it an ideal tool for teaching and academic research.

 

HVDC-Optimal power flow package

A stand-alone MATLAB implementation of an HVDC-OPF problem. It has been tested on a number of small test networks. The input data is in the MATPOWER format and MATLAB’s optimisation toolbox is required to run the simulations.

A Python package for simulating outages in a power network

This is a wrapper around the Python package Pypower. The main aim of this wrapper is to simulate outages in a power system network. Please refer to the readme file within the package for more information.

Network data for real world electricity transmission networks

This archive documents real world data of transmission networks.

Test case archive of OPF problems with local optima

Numerous examples of networks exhibiting local optimal for the ACOPF problem. Please refer to our paper for details.

 

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