Simulating the Smart Grid

TL;DR

This paper introduces a conceptual agent-based model for simulating smart grids, integrating power, information, and financial flows, and compares existing simulators to guide tool selection.

Contribution

It proposes a novel multi-flow network model for smart grid simulation and provides a quantitative comparison of different simulation tools.

Findings

Developed a comprehensive agent-based model for smart grid simulation.

Performed a quantitative comparison of existing simulators.

Facilitated informed decision-making for selecting simulation tools.

Abstract

Major challenges for the transition of power systems do not only tackle power electronics but also communication technology, power market economy and user acceptance studies. Simulation is an important research method therein, as it helps to avoid costly failures. A common smart grid simulation platform is still missing. We introduce a conceptual model of agents in multiple flow networks. Flow networks extend the depth of established power flow analysis through use of networks of information flow and financial transactions. We use this model as a basis for comparing different power system simulators. Furthermore, a quantitative comparison of simulators is done to facilitate the decision for a suitable tool in comprehensive smart grid simulation.