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SICS Software-Intensive Cyber-Physical Systems
Erschienen in: SICS Software-Intensive Cyber-Physical Systems 1-2/2017

09.07.2016 | Special Issue Paper

A framework for disturbance analysis in smart grids by fault injection

Generating smart grid disturbance-related data

verfasst von: Igor Kaitovic, Filip Obradovic, Slobodan Lukovic, Miroslaw Malek

Erschienen in: SICS Software-Intensive Cyber-Physical Systems | Ausgabe 1-2/2017

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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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Fußnoten
1
European network of transmission system operators for electricity (ENTSO-E), http://​www.​entsoe.​eu.
 
2
Swiss Energypark project: http://​swiss-energypark.​ch/​.
 
7
Unified Modeling Language: http://​www.​uml.​org/​.
 
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Metadaten
Titel
A framework for disturbance analysis in smart grids by fault injection
Generating smart grid disturbance-related data
verfasst von
Igor Kaitovic
Filip Obradovic
Slobodan Lukovic
Miroslaw Malek
Publikationsdatum
09.07.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
SICS Software-Intensive Cyber-Physical Systems / Ausgabe 1-2/2017
Print ISSN: 2524-8510
Elektronische ISSN: 2524-8529
DOI
https://doi.org/10.1007/s00450-016-0313-8

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