Reduced Grid Representation through Proper Orthogonal Decomposition

This paper presents the benefits of using Proper Orthogonal Decomposition (POD) to build reduced representations of static grids to be used for market and planning studies. A simple grid reduction based on POD is shown to yield more accurate results than traditional network equivalents due to a combination of zonal dimensional reductions and a proper criteria for the allocation of a prescribed degree of freedom among potential variables.