Grid watch dog: A stream reasoning approach for lightweight SCADA functionality in low-voltage grids

Konrad Diwold, Josiane Xavier Parreira, Simon Mayer, Jack Hodges, Ralf Mosshammer, Alfred Einfalt, Darko Anicic

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

The advent of distributed energy resources in conjunction with recent developments in the context of smart embedded devices has fostered the increased integration of intelligent generators and prosumers into the energy system. As a consequence, previously passively operated grids have become highly dynamic environments, which require active monitoring and control. To allow for such monitoring and control, grid operators require lightweight SCADA-like functionality that can be flexibly adapted to dynamic grid contexts and is suitable for resource-constrained embedded systems. Grid Watch Dog enables system operators to create monitoring and control rules for low-voltage field devices on the fly, and to immediately deploy them in the field. The system combines a stream reasoner on field devices with an intuitive user interface for creating and managing rules. Grid Watch Dog has been implemented as a proof of concept in a smart grid testbed and we demonstrate its application in the context of monitoring a battery energy storage system.

LanguageEnglish
Title of host publicationProceedings of the 8th International Conference on the Internet of Things, IoT 2018
PublisherAssociation of Computing Machinery
ISBN (Electronic)9781450365642
DOIs
StatusPublished - 15 Oct 2018
Event8th International Conference on the Internet of Things, IoT 2018 - Santa Barbara, United States
Duration: 15 Oct 201818 Oct 2018

Conference

Conference8th International Conference on the Internet of Things, IoT 2018
CountryUnited States
CitySanta Barbara
Period15/10/1818/10/18

Fingerprint

Monitoring
Watches
Electric potential
Energy resources
Testbeds
Embedded systems
Energy storage
User interfaces

Keywords

  • Grid Operations
  • Monitoring
  • SCADA
  • Smart Grid
  • Stream Reasoning

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Diwold, K., Parreira, J. X., Mayer, S., Hodges, J., Mosshammer, R., Einfalt, A., & Anicic, D. (2018). Grid watch dog: A stream reasoning approach for lightweight SCADA functionality in low-voltage grids. In Proceedings of the 8th International Conference on the Internet of Things, IoT 2018 [a12] Association of Computing Machinery. DOI: 10.1145/3277593.3277601

Grid watch dog : A stream reasoning approach for lightweight SCADA functionality in low-voltage grids. / Diwold, Konrad; Parreira, Josiane Xavier; Mayer, Simon; Hodges, Jack; Mosshammer, Ralf; Einfalt, Alfred; Anicic, Darko.

Proceedings of the 8th International Conference on the Internet of Things, IoT 2018. Association of Computing Machinery, 2018. a12.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Diwold, K, Parreira, JX, Mayer, S, Hodges, J, Mosshammer, R, Einfalt, A & Anicic, D 2018, Grid watch dog: A stream reasoning approach for lightweight SCADA functionality in low-voltage grids. in Proceedings of the 8th International Conference on the Internet of Things, IoT 2018., a12, Association of Computing Machinery, 8th International Conference on the Internet of Things, IoT 2018, Santa Barbara, United States, 15/10/18. DOI: 10.1145/3277593.3277601
Diwold K, Parreira JX, Mayer S, Hodges J, Mosshammer R, Einfalt A et al. Grid watch dog: A stream reasoning approach for lightweight SCADA functionality in low-voltage grids. In Proceedings of the 8th International Conference on the Internet of Things, IoT 2018. Association of Computing Machinery. 2018. a12. Available from, DOI: 10.1145/3277593.3277601
Diwold, Konrad ; Parreira, Josiane Xavier ; Mayer, Simon ; Hodges, Jack ; Mosshammer, Ralf ; Einfalt, Alfred ; Anicic, Darko. / Grid watch dog : A stream reasoning approach for lightweight SCADA functionality in low-voltage grids. Proceedings of the 8th International Conference on the Internet of Things, IoT 2018. Association of Computing Machinery, 2018.
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