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A framework for disturbance analysis in smart grids by fault injection

Generating smart grid disturbance-related data

  • Special Issue Paper
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Computer Science - Research and Development

Abstract

With growing complexity of electric power systems, a total number of disturbances is expected to increase. Analyzing these disturbances and understanding grid’s behavior, when under a disturbance, is a prerequisite for designing methods for boosting grid’s stability. The main obstacle to the analysis is a lack of relevant data that are publicly available. In this paper, we present a design and implementation of a framework for emulation of grid disturbances by employing simulation and fault-injection techniques. We also present a case study on generating voltage sag related data. A foreseen usage of the framework considers mainly prototyping, root-cause analysis as well as design and comparison of methods for disturbance detection and prediction.

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Notes

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Acknowledgments

This work has been supported in part by a grant from the Swiss Commission for Technology and Innovation (CTI) in the scope of the SCCER-FURIES project.

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Authors and Affiliations

  1. ALaRI, Faculty of Informatics, Università della Svizzera italiana, Via Giuseppe Buffi 13, Lugano, 6900, Switzerland

    Igor Kaitovic, Filip Obradovic, Slobodan Lukovic & Miroslaw Malek

Authors
  1. Igor Kaitovic
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  2. Filip Obradovic
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  3. Slobodan Lukovic
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  4. Miroslaw Malek
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Corresponding author

Correspondence to Igor Kaitovic.

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Kaitovic, I., Obradovic, F., Lukovic, S. et al. A framework for disturbance analysis in smart grids by fault injection. Comput Sci Res Dev 32, 93–103 (2017). https://doi.org/10.1007/s00450-016-0313-8

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  • DOI: https://doi.org/10.1007/s00450-016-0313-8

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