Power Plexus: A network based analysis

TL;DR

This paper analyzes power grid networks to understand cascading failures using percolation theory and proposes mitigation strategies to enhance network robustness and resilience.

Contribution

It extends percolation theory to study cascade effects in power networks and introduces mitigation strategies for improved robustness.

Findings

Percolation theory effectively models cascade failures.

Targeted removal of high-load nodes impacts cascade dynamics.

Mitigation strategies improve network resilience.

Abstract

Power generation and distribution remains an important topic of discussion since the industrial revolution. As the system continues to grow, it needs to evolve both in infrastructure, robustness and its resilience to deal with failures. One such potential failure that we target in this work is the cascading failure. This avalanche effect propagates through the network and we study this propagation by Percolation Theory and implement some solutions for mitigation. We have extended the percolation theory as given in Mark Newman. Networks: an introduction,for random nodes to targeted nodes having high load bearing which is eliminated from the network to study the cascade effect. We also implement mitigation strategy to improve the network performance.