Towards a foundation for holistic power system validation and testing

M. Blank, S. Lehnhoff, Kai Heussen, Daniel Esteban Morales Bondy, C. Moyo, T. Strasser

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Abstract

Renewable energy sources and further electrification of energy consumption are key enablers to decrease greenhouse gas emissions, but they also introduce increased complexity to the electric power system. The increased availability of automation, information and communication technology, and intelligent solutions for system operation have transformed the power system into a smart grid. To support the development process of smart grid solutions on system level they have to be tested in a holistic manner covering the multi-domain aspect of a such complex systems. This paper introduces the concept of holistic power system testing and discuss first steps towards a corresponding methodology that is being developed in the European ERIGrid research infrastructure project.
Original languageEnglish
Title of host publicationProceedings of 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation
Number of pages4
PublisherIEEE
Publication date2016
ISBN (Print)978-1-5090-1314-2
DOIs
Publication statusPublished - 2016
Event21st IEEE International Conference on Emerging Technologies and Factory Automation - Berlin, Germany
Duration: 6 Sep 20169 Sep 2016

Conference

Conference21st IEEE International Conference on Emerging Technologies and Factory Automation
Country/TerritoryGermany
CityBerlin
Period06/09/201609/09/2016
Series2016 Ieee 21st International Conference on Emerging Technologies and Factory Automation (etfa)

Keywords

  • smart power grids
  • air pollution control
  • power consumption
  • renewable energy sources
  • European ERIGrid research infrastructure project
  • holistic power system validation
  • holistic power system testing
  • energy consumption
  • greenhouse gas emissions
  • electric power system
  • smart grid
  • multidomain aspect
  • complex systems
  • Testing
  • Smart grids
  • Cyber-physical systems
  • Context
  • Information and communication technology
  • Complexity theory
  • Power system management, operation and economics
  • Pollution detection and control

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