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 paperpeer-review


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.

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


Conference8th International Conference on the Internet of Things
Country/TerritoryUnited States
CitySanta Barbara


  • Grid Operations
  • Monitoring
  • Smart Grid
  • Stream Reasoning

ASJC Scopus subject areas

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


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