Network Models for Power Grids: A Generative Approach

Computer Science – Social and Information Networks

Scientific paper

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Scientific paper

The inherent structure of the electrical network has a significant impact on its functioning and health. As power grids move towards becoming `smarter' with increased demand response and decentralized control, the topological aspects of the grid have become even more important. Understanding the topology can thus lead to better strategies to control the smart grid as well as enable rapid identification and prevention of risks such as blackouts. This paper focuses on modeling and analyzing basic similarities in network structure of large power grids across America and Europe. It studies the topological characteristics of power grids and develops a generative model for them. Based on the typical small world characteristics, large scale test power systems can be developed to better study the working of new algorithms for smart grids

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