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Script for resilience analysis in energy systems: Python programming code and partial associated data of four

Fellipe Sartori da Silva¹, José Alexandre Matelli¹

¹São Paulo State University, School of Engineering, Department of Chemistry and Energy, Guaratinguetá, São Paulo Brazil.

|April 23, 2021

Summary

This summary is machine-generated.

This study introduces a script for evaluating energy system resilience, including simulation and data processing tools. It aids researchers in adopting resilience analysis and understanding metric calculations for power and cogeneration plants.

Keywords:

Cogeneration Energy system Resilience System design

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Area of Science:

Energy Systems Engineering
Computational Science

Background:

Evaluating the resilience of energy systems is crucial for grid stability.
Existing methods may lack comprehensive tools for simulation and metric calculation.

Purpose of the Study:

To present a script and dataset for assessing energy system resilience.
To provide a detailed methodology for simulation and metric calculation.

Main Methods:

Development of a script for system description, simulation, and metric calculation.
Inclusion of raw and processed data from a related study.
Focus on cogeneration and power plants.

Main Results:

A functional script and dataset are provided for energy system resilience evaluation.
Detailed simulation steps are outlined for user implementation.
The work facilitates understanding of resilience metric calculations.

Conclusions:

The presented script and dataset offer a valuable resource for energy system resilience analysis.
This work supports researchers in adopting and implementing resilience assessments.
The detailed methodology enhances the reproducibility of resilience studies.