Model reduction for a power grid model

<p style='text-indent:20px;'>We examine the complexity of constructing reduced order models for subsets variables needed to represent state power grid. In particular, we apply model reduction techniques DeMarco-Zheng grid model. We show that due oscillating nature solutions and absence timescale separation between resolved unresolved variables, construction accurate becomes highly non-trivial because one has account long memory effects. addition, a includes even short is drastically better than memoryless model.</p>