Efficient simulation of coupled gas and power networks under uncertain demands

TL;DR

This paper presents Grazer, a software tool for efficiently simulating coupled gas and power networks under uncertain demands, incorporating stochastic fluctuations to model real-world variability.

Contribution

It introduces a novel approach and software for simulating coupled energy networks with stochastic demand fluctuations, tested on realistic network sizes.

Findings

Effective simulation of coupled networks with stochastic demands

Validated approach on realistic network sizes

Provides a practical tool for energy network analysis

Abstract

We introduce an approach and a software tool, Grazer, for solving coupled energy networks composed of gas and electric power networks. Those networks are coupled to stochastic fluctuations to address possibly fluctuating demand due to fluctuating demands and supplies. Through computational results the presented approach is tested on networks of realistic size.