  The Australian National Electricity Market (NEM) is a complex energy market
that faces challenges due to the increasing number of distributed energy
resources (DERs) and the transition to a net-zero emissions target. Power
system modelling plays a crucial role in addressing these challenges by
providing insights into different scenarios and informing decision-making.
However, accessing power system data containing sensitive information can be a
concern. Synthetic data offer a solution by allowing researchers to analyze and
develop new methods while protecting confidential information. This paper
utilizes an existing synthetic network model based on the NEM (`S-NEM2300'-bus
system) to develop a benchmark for power system optimization studies. The model
is derived and enhanced using PowerModels.jl and MATPOWER data models, and
feasibility is ensured through power flow and optimal power flow studies. The
resulting benchmark model, called `S-NEM2000'-bus system, is validated and
enriched with additional parameters such a thermal limits, generation fuel
categories and cost models. The `S-NEM2000'-bus system is an \emph{open}
dataset which provides a valuable resource for optimization studies in the
power system domain.
