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APPLICATION FOR SYSTEM SPLIT AND BLACKOUT DETECTION

Authors: Stojanović, Nina; Miloš Stojić; Cvetićanin, Suzana; Jakupović, Goran; Dušan Popadić; Srđan Subotić; Tasić, Andrej; +1 Authors

APPLICATION FOR SYSTEM SPLIT AND BLACKOUT DETECTION

Abstract

This paper presents an application for the detection of system split and blackout. The described application was developed as part of the Emergency and Restoration (ER) module of the HORIZON 2020 TRINITY project (H2020-863874 Transmission system enhancement of regioNal borders by means of IntelligenT market technologY). First, a brief overview of the relevant unit of the ER module is given, then a functional description of the application software for detecting system split, as well as a description of the software technologies used. Also, modeling software (database editor) is shown. At the end, an overview of the further development plan is briefly described. The application for detection of system split and blackout was developed on the basis of a topology processor which is a standard component of network applications, specifically variants intended primarily for energization detection, i.e. „SCADA topology“ and „line staining“. The application was developed on the Linux platform, using the C ++ programming language. A relational MySQL database is used as a platform for storing system models and other data. The user interface of the database editor was developed using the Java programming language.

Keywords

System split, blackout, topology processor, electrical islands

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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