Internet of things in LV grids : framework and experiments

M.M. Viyathukattuva Mohamed Ali, P.H. Nguyen, J.F.G. Cobben

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

8 Citations (Scopus)
2 Downloads (Pure)

Abstract

Changes in recent renewable energy-related grid
codes may lead to introduction of thousands of remotely
controllable inverters in the LV grid. To maintain their supply
quality, the distribution system operator (DSO) would need to
coordinate together with active end users to optimally operate
and control their inverters. A generic ICT architecture and
royalty free application are therefore required to interconnect
these inverters and the grid operator. In this paper, we have
used internet of things paradigm to develop an ICT framework
that can be used by DSO to control these inverters remotely.
Moreover, since the proposed ICT framework fully compatible
with the existing communication infrastructure, it can be easily
used by DSOs. To test the proposed ICT framework, a testbed is
also constructed. In addition, as a part of the proposed ICT
framework, a generic application programmable interface is
developed. The scalability and the interoperability are added to
the application by programming it using open and royalty free
java and java agent development environment tool.
Original languageEnglish
Title of host publicationSaudi Arabia Smart Grid (SASG), 6 December 2016, Jeddah, Saudi Arabia
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-5
ISBN (Electronic)978-1-5090-5470-1
ISBN (Print)978-1-5090-5471-8
DOIs
Publication statusPublished - Dec 2016
EventSaudi Arabia Smart Grid (SASG) - Hilton Hotel, Jeddah, Saudi Arabia
Duration: 6 Dec 2016 → …
Conference number: doi: 10.1109/SASG.2016.7849687
http://saudi-sg.com/

Conference

ConferenceSaudi Arabia Smart Grid (SASG)
Abbreviated titleSASG
CountrySaudi Arabia
CityJeddah
Period6/12/16 → …
Internet address

Keywords

  • IoT;PV;internet of things;multi agent system;renewable energy

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