Modeling power grids

TL;DR

This paper introduces a method for creating random power grid models that replicate real grid statistics and exhibit similar partitioning complexity, aiding in the study of grid resilience and behavior.

Contribution

The paper proposes a novel approach to generate random power grid models that accurately reflect real-world statistical properties and partitioning challenges.

Findings

Model grids closely match real grid statistics

Generated models are more difficult to partition than actual grids

Provides a useful tool for studying grid resilience

Abstract

We present a method to construct random model power grids that closely match statistical properties of a real power grid. The model grids are more difficult to partition than a real grid.