A Toolbox for Design of Experiments for Energy Systems in Co-Simulation and Hardware Tests

TL;DR

This paper introduces a toolbox that streamlines the design, execution, and analysis of experiments in complex energy systems, enhancing sensitivity analysis in co-simulation and hardware testing.

Contribution

It presents a novel object-oriented toolbox for designing and analyzing experiments in energy system co-simulation and hardware tests, improving resource efficiency.

Findings

Effective sample generation for experiments

Application in co-simulation sensitivity analysis

Support for hybrid energy storage experiments

Abstract

In context of highly complex energy system experiments, sensitivity analysis is gaining more and more importance to investigate the effects changing parameterization has on the outcome. Thus, it is crucial how to design an experiment to efficiently use the available resources. This paper describes the functionality of a toolbox designed to support the users in design of experiment for (co-)simulation and hardware tests. It provides a structure for object-oriented description of the parameterization and variations and performs sample generation based on this to provide a complete parameterization for the recommended experiment runs. After execution of the runs, it can also be used for analysis of the results to calculate and visualize the effects. The paper also presents two application cases using the toolbox which show how it can be implemented in sensitivity analysis studies with the co-simulation framework mosaik and a hybrid energy storage experiment.