Distributed Generation and Resilience in Power Grids

TL;DR

This paper investigates how the placement of distributed generation affects power grid resilience and proposes a network-based algorithm to optimize allocation and prevent system overloads.

Contribution

It introduces a novel topological algorithm based on Complex Networks to improve the allocation of distributed generation in power grids.

Findings

Unconstrained growth of distributed generation can threaten grid stability.

The proposed algorithm effectively optimizes generation placement.

Proper allocation enhances power grid resilience.

Abstract

We study the effects of the allocation of distributed generation on the resilience of power grids. We find that an unconstrained allocation and growth of the distributed generation can drive a power grid beyond its design parameters. In order to overcome such a problem, we propose a topological algorithm derived from the field of Complex Networks to allocate distributed generation sources in an existing power grid.